Q&A about server products
SVR-001 Q: What is a domestic server?
A: A domestic server refers to a server device whose core hardware (CPU, motherboard, firmware, etc.) is independently developed or primarily produced by domestic manufacturers. Currently, domestic servers mainly adopt three technical routes: x86-compatible route (Hygon, Zhaoxin), ARM architecture route (Huawei Kunpeng, Phytium), and self-developed architecture route (Loongson LoongArch).
SVR-002 Q: What are the CPU brands for domestic servers?
A: Major domestic server CPU brands include: Hygon (x86 architecture, a representative of the domestic x86-compatible route), Huawei Kunpeng (ARM), Phytium (ARM), Loongson (self-developed LoongArch), Zhaoxin (x86), and Shenwei (self-developed SW-64 architecture).
SVR-003 Q: What is the difference between domestic servers and imported servers?
A: The core differences are:
Architecture: Imported servers are dominated by Intel Xeon and AMD EPYC x86 ecosystems; domestic servers feature a "multi-path" ecosystem (x86-compatible/ARM/self-developed architectures);
Independent controllability: Domestic servers achieve localization from motherboard to firmware, while imported servers carry risks of supply chain disruption and technology decoupling;
Ecosystem: Imported servers have mature ecosystems, while domestic server ecosystems are rapidly catching up.
SVR-004 Q: What are the mainstream domestic server brands?
A: Mainstream domestic server brands include: Inspur (with a significant share in the AI server market - specific data should reference the latest third-party reports, and is one of the industry-leading vendors), Huawei, H3C, Sugon, ZTE, Super Fusion, Lenovo, etc. Traditional industries should prioritize vendors with strong full-stack capabilities like Huawei and Inspur.
SVR-005 Q: Can domestic servers run Windows?
A: Some domestic platforms can. x86-compatible platforms like Hygon and Zhaoxin support Windows; however, ARM-based platforms like Kunpeng and Phytium typically require domestic operating systems (such as UnionTech UOS, KylinOS). Software compatibility should be confirmed before purchase.
SVR-006 Q: How to choose a domestic server?
A: Selection considerations:
Chip architecture: Hygon (strong x86 compatibility), Kunpeng (well-established ARM ecosystem), Phytium (large installed base in ITAI), Loongson (highest level of independent controllability);
Brand: Inspur (AI server leadership), Huawei (full-stack capability), Sugon (high-performance computing);
ITAI compliance: For government/finance scenarios, confirm whether the product is listed in the ITAI catalog. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-007 Q: How to choose between Hygon, Kunpeng, Phytium, and Loongson for servers?
A:
Hygon (x86): Mature ecosystem, extensive commercial deployment, suitable for finance/telecom/internet data centers, with a significant share in the domestic server CPU market (specific data should reference the latest third-party reports);
Kunpeng (ARM): Strong competitiveness in government/enterprise and cloud computing markets, with clear advantages in the telecom sector;
Phytium (ARM): A mainstay for ITAI PCs/servers, with large cumulative shipment volumes (specific data should be based on vendor disclosures);
Loongson (self-developed): Uses a self-developed architecture, suitable for scenarios with high security and controllability requirements, and is a mainstay for party/government/military sectors. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-008 Q: What is the approximate price of a domestic server?
A: Domestic server prices vary significantly based on configuration: entry-level (single-socket domestic CPU): approximately 10,000-30,000 CNY; mid-range mainstream (dual-socket): approximately 50,000-150,000 CNY; high-end AI servers: hundreds of thousands to over one million CNY. Compared to similar imported configurations, domestic servers generally offer better cost-performance and may qualify for ITAI procurement subsidies. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-009 Q: How is the ecosystem adaptation for domestic servers?
A: The domestic server ecosystem has improved significantly. Full mutual recognition and adaptation have been completed with domestic operating systems (UnionTech UOS, KylinOS), domestic databases (Dameng, Renda Jincang), domestic middleware, and cloud platforms. Some leading vendors have established dedicated ecosystem adaptation labs to achieve full-stack compatibility of domestic hardware and software. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-010 Q: What are the latest domestic server CPUs?
A: 2025-2026 sees rapid advancement in domestic CPUs: Hygon C86-5G (128 cores/512 threads), Kunpeng 950 (96 cores/192 threads), Phytium S5000C (64 cores), Loongson 3C6000 (32-64 cores), Zhaoxin KH-50000 (96 cores). Hygon's single-core performance has seen significant iterative improvements, and Loongson's performance is comparable to Intel's high-end Xeon processors. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-011 Q: Do domestic servers support national cryptographic algorithms?
A: Yes. Domestic servers integrate self-developed security kernels at the firmware level, natively supporting China's commercial cryptographic algorithms (SM2/SM3/SM4), building a "full-link intrinsic security" mechanism from hardware, firmware, to algorithms. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-012 Q: Has domestic server performance caught up with Intel/AMD?
A: In some scenarios, it has approached or reached mainstream international levels. The Hygon C86-4G series scores higher in Cinebench than Intel products at the same positioning; Loongson 3C6000 performance is comparable to Intel Xeon 6338; in multi-core parallel computing and distributed storage scenarios, domestic servers have demonstrated performance on par with imported products of the same tier in real-world tests. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-013 Q: What are the ITAI requirements for servers?
A: ITAI requires that hardware uses domestic CPUs and chips, and runs domestic operating systems. ITAI procurement typically requires clarification of chip models, firmware versions, and operating system compatibility lists; specific document versions and mandatory requirements should be reviewed before publication.
SVR-014 Q: What is the timeline for server ITAI replacement?
A: State-owned enterprises have clear requirements for ITAI replacement, but procurement ratios and timelines may vary by region and industry. Before publication, the latest official documents from the competent authorities should be the reference, and unverified ratios should be avoided.
SVR-015 Q: What are the preferential government procurement policies for domestic servers?
A: Government procurement policies may provide evaluation preferences for eligible domestic products. The specific scope of application, ratios, and effective dates should be based on current official policies and procurement documents.
SVR-016 Q: What scenarios are domestic servers suitable for?
A:
Government/Finance: High ITAI compliance requirements – prioritize Hygon and Kunpeng;
Telecom/Cloud Computing: Kunpeng has clear advantages in the telecom market;
Party/Government/Military: Loongson offers the highest level of independent controllability;
AI Training: Brands like Inspur and Huawei have mature AI server product lines. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-017 Q: Which is better, Inspur or Huawei servers?
A: Inspur holds a significant share in the AI server market (specific data should reference the latest third-party reports) and is one of the industry-leading vendors; Huawei builds full-stack capabilities with its self-developed chips (Kunpeng) and operating system (Euler). Inspur is better suited for pure hardware procurement scenarios, while Huawei is better for scenarios requiring full-stack solutions. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-018 Q: How are Sugon servers?
A: Sugon's strengths lie in high-performance computing and liquid cooling technology. It released the Sugon 8000 (Dengfeng), one of China's earliest fully domestic 100,000-card-level AI superclusters. It is suitable for supercomputing centers and research institutions with high compute-density requirements. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-019 Q: Does domestic server = poor quality?
A: This is an outdated prejudice. In 2025-2026, domestic CPU performance has improved significantly, matching imported products in multi-core parallel computing and distributed storage scenarios. The advantages of domestic servers lie in independent controllability, data security, and localized services.
SVR-020 Q: Can domestic servers only run domestic software?
A: Not necessarily. x86-compatible platforms like Hygon and Zhaoxin are compatible with Windows and mainstream commercial software; ARM platforms like Kunpeng and Phytium primarily adapt to domestic operating systems and open-source software. Compatibility should be confirmed based on actual software requirements during selection.
SVR-021 Q: What is an Intel server?
A: An Intel server refers to a server equipped with Intel Xeon series processors. Intel Xeon is the most mainstream server CPU platform in data centers, known for strong single-core performance and a mature software ecosystem.
SVR-022 Q: What are the series of Intel Xeon processors for servers?
A: Xeon processors are mainly divided into:
Xeon E series: Entry-level, suitable for SMBs and edge computing;
Xeon Gold/Platinum series: Mainstream enterprise-grade;
Xeon 6 series: Latest generation, using Intel 18A process, up to 288 cores;
Xeon 6+ (Clearwater Forest): Efficiency-core version, designed for cloud-native and AI high-concurrency scenarios.
SVR-023 Q: How to choose an Intel Xeon server?
A: Selection points:
Core count: Choose more cores for virtualization, fewer cores with higher frequency for databases;
Generation: Newer Xeons offer better performance and power efficiency;
Scenario: Choose Xeon 6 for AI inference (supports AMX acceleration), and Xeon Gold series for general enterprise applications;
Budget: Entry-level options include the Xeon E series. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-024 Q: What is the difference between Xeon E series and Xeon 6 series?
A: The Xeon E series is positioned as entry-level, suitable for SMBs and edge computing, with lower prices; the Xeon 6 series is a next-generation data center CPU, using Intel 18A process, up to 288 cores, supporting 12-channel DDR5 memory and 96 PCIe 5.0 lanes, designed for AI and high-concurrency scenarios. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-025 Q: What is the approximate price of an Intel Xeon server?
A: Entry-level Xeon E series (e.g., E-2234): around 2,780 CNY; Xeon E-2288G (8-core): around 5,599 CNY; high-end Xeon 6 series models are more expensive, with complete server prices ranging from tens of thousands to hundreds of thousands of CNY. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-026 Q: What are the core advantages of Xeon processors?
A:
Strong single-core performance: High clock speeds, suitable for applications sensitive to single-thread performance;
AMX matrix acceleration: Significantly improves AI inference efficiency;
TDX confidential computing: Enhances security;
Mature ecosystem: Native support for commercial software like Windows Server and VMware. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-027 Q: What are the features of the Xeon 6+ processor?
A: Xeon 6+ (Clearwater Forest) is Intel's first data center CPU built on the Intel 18A process, with up to 288 efficiency cores (E-cores), supporting 12-channel DDR5-8000 memory and 96 PCIe 5.0 lanes. Compared to the second-generation Xeon, it achieves a 9:1 server consolidation ratio, reducing rack space by nearly 80% and lowering energy consumption by 73%. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-028 Q: Do Xeon processors support ECC memory?
A: Yes. The entire Xeon series supports ECC (Error-Correcting Code) memory error correction, significantly reducing the risk of data anomalies during long-running computations. This is a key distinction between server and desktop CPUs. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-029 Q: What is the typical TDP of Xeon processors?
A: It varies widely by model: Xeon E series as low as 71W; mainstream Xeon Gold/Platinum series typically between 100-300W; Xeon 6+ efficiency-core design offers better power control. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-030 Q: What scenarios are Intel Xeon servers suitable for?
A:
AI inference: AMX instruction set acceleration, suitable for machine learning inference;
High-concurrency web services: Strong single-core performance;
Traditional enterprise databases: Mature ecosystem, good compatibility;
Security-trusted scenarios: TDX confidential computing support. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-031 Q: Are Xeon servers suitable for virtualization?
A: Very suitable. Xeon processors support Intel VT-x/vt-d virtualization technology, and the multi-core design can host a large number of virtual machines. The Xeon 6+ efficiency-core design performs excellently in cloud-native and containerized scenarios. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-032 Q: How to choose between Intel Xeon and AMD EPYC servers?
A: Intel advantages: strong single-core performance, AI acceleration (AMX), security technology (TDX), mature software ecosystem. AMD advantages: high core density, large memory bandwidth, better cost-performance. Choose Intel for traditional enterprise applications and AI inference; choose AMD for large-scale virtualization and multi-threaded workloads. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-033 Q: What is the difference between Xeon and Core?
A: Xeon is a server/workstation-dedicated CPU, supporting ECC memory, multi-socket CPU interconnect, higher core counts, and greater stability; Core is a consumer-grade CPU with higher clock speeds but lacking enterprise-grade features. Servers must use Xeon. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-034 Q: What operating systems do Xeon servers support?
A: Xeon servers support all mainstream server operating systems: Windows Server, Red Hat Enterprise Linux, Ubuntu Server, VMware ESXi, CentOS, etc. Ecosystem compatibility is among the most comprehensive of all platforms.
SVR-035 Q: What security features do Xeon processors have?
A: Xeon processors include multiple built-in security technologies:
TDX (Trust Domain Extensions): Confidential computing, protecting sensitive data;
Intel vPro: Remote management;
SGX: Trusted execution environment;
Boot Guard: Prevents malicious firmware attacks.
SVR-036 Q: Which brands offer Xeon servers?
A: Almost all mainstream server brands have Xeon product lines: international brands like Dell PowerEdge, HPE ProLiant, Lenovo ThinkSystem; domestic brands like Inspur, Huawei FusionServer, H3C, Sugon, etc. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-037 Q: What are the latest Intel Xeon products for servers?
A: In 2026, Intel released Xeon 6+ (Clearwater Forest), built on Intel 18A process with up to 288 cores. The Xeon 6 series is already fully available, supporting AMX matrix acceleration and TDX security technology.
SVR-038 Q: Are more Xeon processor cores always better?
A: Not necessarily. More cores are suitable for virtualization and parallel computing; however, databases and web services are more sensitive to single-core frequency. Selection should be based on actual workload, not simply more cores.
SVR-039 Q: Are Xeon servers always more expensive than AMD servers?
A: Not necessarily. At comparable configuration levels, Intel and AMD server prices vary. AMD EPYC has advantages in core density and cost-performance, but Intel offers unique value in specific scenarios (e.g., AI inference). Comparison should be made based on needs.
SVR-040 Q: Is the Xeon E series a "watered-down" version?
A: The Xeon E series is optimized for SMBs and entry-level scenarios, with fewer cores but retaining enterprise-grade features like ECC memory and virtualization. It is not "watered-down" but "precisely positioned" – suitable for budget-constrained scenarios that require enterprise-grade stability.
SVR-041 Q: What is an AMD server?
A: An AMD server refers to a server equipped with AMD EPYC series processors. AMD EPYC is known for high core density, large memory bandwidth, and excellent cost-performance, with its server CPU market share steadily increasing in recent years; specific share figures should be referenced from the latest third-party reports with noted statistical basis.
SVR-042 Q: What are the series of AMD EPYC processors?
A: EPYC is mainly divided into:
5th Generation EPYC (Turin): Current mainstream, Zen 5 architecture;
6th Generation EPYC (Venice): Latest released in 2026, Zen 6 architecture, up to 256 cores;
EPYC 9005 series: Targeting the mid-range market.
SVR-043 Q: How to choose an AMD EPYC server?
A: Selection points:
Core count: Choose high-core-count models for virtualization and big data;
Generation: 5th gen (Turin) is current mainstream, 6th gen (Venice) is the latest;
Scenario: Choose EPYC for large databases, blockchain, and financial quantitative trading;
Budget: EPYC offers outstanding core-density value. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-044 Q: What is the approximate price of an AMD EPYC server?
A: EPYC servers generally offer better cost-performance than comparable Intel configurations. Entry-level single-socket EPYC servers: approximately 20,000-50,000 CNY; mid-range dual-socket: approximately 50,000-150,000 CNY; high-end multi-socket/high-core-count models are more expensive. Specific prices depend on core count, memory, and storage configurations. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-045 Q: What are the core advantages of AMD EPYC?
A:
High core density: Up to 256 cores, suitable for large-scale parallel computing;
Large memory bandwidth: 12-channel memory, up to 460GB/s bandwidth;
More PCIe lanes: Supports more expansion devices;
Cost-performance advantage: More cores at the same price point;
Strong multi-threaded performance: CCD modular design performs exceptionally well in multi-threaded tasks. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-046 Q: How powerful is the 5th Gen EPYC Turin?
A: Turin achieves up to 37% IPC improvement in HPC and AI workloads, with maximum boost clocks crossing the 5.0GHz mark for the first time. Compared to Intel Xeon 6980P 128C, Turin leads by approximately 40% in SPEC CPU performance tests, 40% in enterprise business performance, and 80% in HPC performance. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-047 Q: What are the features of the 6th Gen EPYC Venice?
A: Venice uses Zen 6 architecture, up to 256 cores, supporting PCIe 6.0. It is divided into four product families: Venice SP7 (shipping Q4 2026), Venice SP8 (first half of 2027), Venice-X, and Verano (second half of 2027). EPYC 9006 LP is optimized specifically for rack-scale AI solutions, with up to 72 cores at 5GHz base frequency. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-048 Q: Does EPYC support ECC memory?
A: Yes. The entire EPYC series supports ECC memory and RDIMM, with a 12-channel DDR5 memory design providing extremely high memory bandwidth, suitable for memory-intensive applications. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-049 Q: What scenarios are AMD EPYC servers suitable for?
A:
Large databases: Significant advantage from high memory bandwidth;
Virtualization/Containers: High core density supports more VMs;
Blockchain/Financial quantitative trading: Excellent multi-threaded performance;
AI training infrastructure: Core density and PCIe lane advantages;
HPC high-performance computing. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-050 Q: Is EPYC suitable for AI?
A: Yes. The 6th Gen EPYC Venice includes the EPYC 9006 LP model specifically optimized for rack-scale AI solutions. EPYC's high core density and memory bandwidth perform excellently in AI data preprocessing and inference scenarios. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-051 Q: How to choose between AMD EPYC and Intel Xeon?
A: AMD advantages: high core density (up to 256 cores), large memory bandwidth (12 channels), excellent cost-performance. Intel advantages: strong single-core performance, AI acceleration (AMX), security technology (TDX), mature ecosystem. Choose AMD for large-scale virtualization/multi-threading, and Intel for AI inference/traditional enterprise applications. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-052 Q: How to choose between AMD EPYC and domestic CPUs?
A: For non-ITAI scenarios: EPYC offers better performance and a more mature ecosystem. For ITAI/domestication-required scenarios: domestic CPUs (Hygon, Kunpeng, etc.) must be chosen. Hygon itself is based on AMD Zen architecture licensing, offering performance and x86 compatibility close to EPYC. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-053 Q: What operating systems do EPYC servers support?
A: EPYC servers support mainstream server operating systems: Windows Server, RHEL, Ubuntu Server, VMware ESXi, etc. As an x86 architecture, software compatibility is very mature.
SVR-054 Q: What security features do EPYC processors have?
A: EPYC integrates the AMD Secure Processor and Secure Encrypted Virtualization (SEV) technology, supporting encrypted memory for virtual machines to prevent hypervisor access to guest data. It also supports secure boot and firmware TPM.
SVR-055 Q: Which brands offer EPYC servers?
A: Almost all mainstream server brands have EPYC product lines: Dell PowerEdge, HPE, Lenovo, Supermicro; domestic brands like Inspur, Huawei, and Sugon also offer EPYC platform servers. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-056 Q: What are the latest AMD EPYC products?
A: In July 2026, AMD released the 6th Gen EPYC 9006 (Venice) series, built on Zen 6 architecture. The 5th Gen EPYC Turin is already fully available. AMD's revenue share in the server CPU market has reached 46%.
SVR-057 Q: Is AMD EPYC less stable than Intel?
A: This is a past impression. EPYC is now widely deployed in the enterprise market, with major global cloud providers (Alibaba Cloud, AWS, etc.) all deploying EPYC servers at scale. AMD's server CPU market share has risen from 0.2% to 46%.
SVR-058 Q: Does EPYC have many cores but weak single-core performance?
A: The 5th Gen EPYC Turin has reached 5.0GHz max boost, with single-core performance significantly improved. Turin leads Intel Xeon 6980P by approximately 40% in SPEC CPU performance tests. "Many cores but weak single-core" is an outdated impression.
SVR-059 Q: Can EPYC only run Linux?
A: No. EPYC is x86 architecture and fully supports Windows Server. All mainstream server operating systems can run on it.
SVR-060 Q: What is a GPU server?
A: A GPU server is a server equipped with GPUs (graphics processing units), leveraging the parallel computing power of GPUs to accelerate specific workloads. GPUs have thousands of computing cores and are suitable for graphics rendering, scientific computing, AI training and inference, and other parallel computing-intensive tasks.
SVR-061 Q: What is the difference between a GPU server and a regular server?
A:
Core difference: Regular servers use CPUs as the main computing unit; GPU servers are additionally equipped with GPU accelerator cards, with parallel computing capability tens of times that of CPUs;
Usage: Regular servers are suitable for general-purpose computing; GPU servers focus on AI training, graphics rendering, and scientific computing;
Power consumption: GPU servers consume significantly more power than regular servers.
SVR-062 Q: What are the mainstream GPU brands for GPU servers?
A:
NVIDIA: High market share, most comprehensive product lineup (A100/H100/B200, etc.);
AMD: Instinct series, significant cost-performance advantage (MI300X/MI350, etc.);
Domestic: Cambricon, Huawei Ascend, Tianzhi Intelligent, Enflame Technology, etc., preferred for ITAI scenarios.
SVR-063 Q: What are the main NVIDIA GPU models for servers?
A:
A100 (Ampere): Mainstream AI training card, 80GB VRAM;
H100 (Hopper): High-performance AI training, 80GB HBM3;
H200: H100 upgrade, 141GB HBM3e;
B200 (Blackwell): Latest architecture 2025-2026, with 8 stacks of HBM3e;
RTX 4090: Consumer desktop card, commonly used for small inference scenarios;
L40S: Inference + graphics fusion card.
SVR-064 Q: How to choose a GPU server?
A:
Determine requirements: Choose A100/H100 for AI training; L40/T4 for AI inference; A100 for scientific computing; RTX A6000 for graphics rendering;
GPU count: Single-card/4-card/8-card configurations;
CPU pairing: Mainstream choice is Intel Xeon or AMD EPYC;
Cooling: Air-cooled or liquid-cooled;
Brand: NVIDIA DGX (OEM), Dell, Inspur, Supermicro, etc. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-065 Q: What is the approximate price of an 8-card GPU server?
A: Prices vary greatly by GPU model: 8×A100 (80GB) system is approximately 1-1.5 million CNY; 8×H100 approximately 2-3 million CNY; 8×B200 is higher. Entry-level consumer-grade GPU solutions (e.g., 4×RTX 4090) are approximately 100,000-200,000 CNY. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-066 Q: How to choose the CPU for a GPU server?
A:
AI training scenarios: Recommend dual-socket AMD EPYC or Intel Xeon Gold processors to ensure adequate PCIe lanes;
Inference scenarios: Single-socket CPU is sufficient;
General principle: The CPU only needs to ensure it does not become a bottleneck for the GPU; core count is more critical than clock speed (for data preprocessing). Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-067 Q: How much VRAM does a GPU server need?
A:
AI training (large models): Starting at 80GB (H100/A100), 141GB (H200) recommended;
AI inference: 24-80GB;
Scientific computing: 40-80GB;
Graphics rendering: 24-48GB. VRAM capacity directly affects the maximum model size that can be trained. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-068 Q: What interconnect technologies are used in GPU servers?
A:
NVLink: NVIDIA's proprietary high-speed interconnect, connecting multiple GPUs;
NVSwitch: Connects multiple GPU nodes;
InfiniBand: 400G/800G high-speed network interconnect;
PCIe 5.0/6.0: Data transfer channels between GPUs and CPUs. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-069 Q: How to address power consumption and cooling for GPU servers?
A: A single H100 consumes approximately 700W, with an 8-card system drawing 5,600W to over 10,000W. Cooling solutions:
Air cooling: Requires high-airflow cabinets, suitable for small to medium scale;
Liquid cooling: More efficient, suitable for high-density deployments with 8+ cards, can reduce PUE to below 1.1;
Immersion liquid cooling: Ultimate cooling, suitable for large-scale data centers. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-070 Q: What scenarios are GPU servers suitable for?
A:
AI large model training: Core scenario;
AI inference: Model deployment;
Scientific computing: Molecular dynamics, weather prediction, etc.;
Graphics rendering: 3D design, visual effects;
Big data analytics: GPU-accelerated data processing. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-071 Q: What software environments are needed for AI training on GPU servers?
A:
CUDA: NVIDIA's parallel computing platform;
cuDNN: Deep neural network acceleration library;
Deep learning frameworks: PyTorch, TensorFlow;
Containerization: NVIDIA Docker/Enroot;
Cluster management: Kubernetes + GPU scheduling plugins. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-072 Q: How to choose between NVIDIA, AMD, and domestic GPUs for servers?
A:
NVIDIA: Strong software ecosystem (CUDA), high market share, typically higher price;
AMD: Rapidly growing ROCm ecosystem, good cost-performance, catching up to the CUDA ecosystem;
Domestic (Cambricon/Ascend): ITAI compliance preferred, ecosystem catching up, suitable for government/SOE scenarios. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-073 Q: How to choose between A100, H100, and B200?
A:
A100: Mainstream mature solution, good cost-performance, suitable for small to medium AI training;
H100: High-performance AI training, 3-4x performance improvement over A100;
B200 (Blackwell): Latest architecture in 2025, further performance improvement, suitable for ultra-large-scale AI training. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-074 Q: How to choose between NVIDIA DGX and third-party GPU servers?
A: DGX is NVIDIA's OEM system, with highly optimized hardware and software, ready to use out of the box, but expensive; third-party (Dell, Inspur, Supermicro, etc.) offers better cost-performance and flexible configuration. Large enterprises/research institutions choose DGX; SMBs/budget-constrained users choose third-party. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-075 Q: How to maintain a GPU server?
A:
Regular dust cleaning: Dust accumulation on GPUs affects cooling;
Temperature monitoring: Ensure GPU temperatures remain within safe ranges (<85°C);
Driver updates: Regularly update NVIDIA drivers;
Log checking: Review ECC error records;
Power supply checks: Ensure adequate and stable power delivery.
SVR-076 Q: How are Inspur's GPU servers?
A: Inspur is one of the leading brands in the AI server market (with a significant market share - specific data should reference the latest third-party reports), with its AI server product line covering 4U/8U/liquid cooling and other form factors, supporting NVIDIA, AMD, and domestic GPUs, and widely used in internet and AI companies. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-077 Q: What are the domestic GPU server brands?
A:
Huawei: Ascend series AI servers, with self-developed Ascend GPUs;
Sugon: Fully domestic GPU servers, equipped with Cambricon and other domestic GPUs;
Inspur: AI servers supporting domestic GPUs (Cambricon, Enflame, etc.). For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-078 Q: Must a GPU server have 8 GPUs?
A: No. The number of GPUs depends on business needs:
Small-scale AI inference: Single GPU is sufficient;
Algorithm development: 2-4 GPUs;
Large-scale model training: 8 or more GPUs;
Graphics rendering: Single or dual GPUs are sufficient.
SVR-079 Q: Can GPU servers only run AI workloads?
A: No. GPU servers are widely used in: scientific computing (molecular simulation, weather prediction), financial modeling (risk calculation), graphics rendering (visual effects), gene sequencing analysis, and many other parallel computing scenarios.
SVR-080 Q: What is an AI server?
A: An AI server is a server specifically optimized for artificial intelligence workloads (large model training, deep learning inference, machine learning, etc.). It typically features multiple high-performance GPUs, large-capacity memory, and high-speed storage, with pre-installed AI development frameworks and container environments.
SVR-081 Q: What is the difference between an AI server and a general-purpose server?
A:
Compute core: AI servers use GPUs/TPUs/NPUs as the primary compute power, while general-purpose servers use CPUs;
Architecture: AI servers emphasize low-latency interconnect between GPUs (NVLink/InfiniBand), which general-purpose servers do not require;
Storage: AI servers require extremely fast data access (NVMe SSDs);
Power consumption: AI servers consume significantly more power than general-purpose servers.
SVR-082 Q: Are AI servers used for training or inference?
A:
AI Training: Generates models through large-scale data training, requiring high compute power and taking weeks to months, requiring high-performance GPUs (A100/H100);
AI Inference: Deploys trained models to production, responding to real-time requests, requiring less compute power, with GPUs like T4/L40.
SVR-083 Q: What are the mainstream AI server brands?
A:
NVIDIA DGX: OEM AI server, optimized hardware-software integration;
Inspur NF series: One of the leading domestic AI server brands;
Dell PowerEdge: Supports NVIDIA/AMD/Intel multiple GPU options;
Supermicro: Good cost-performance, flexible configuration;
Huawei Atlas: Ascend AI servers, domestic route.
SVR-084 Q: How to select an AI server?
A:
Define scenario: Choose high-performance (A100/H100) for training, T4/L40 for inference;
GPU count: 2-card/4-card/8-card;
CPU: Dual-socket Xeon/EPYC, 32-64 cores;
Memory: 256GB-2TB;
Storage: System disk SSD + large-capacity NVMe data drives;
Cooling: Air-cooled or liquid-cooled. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-085 Q: What CPU configuration does an AI server need?
A: The CPU in an AI server not only handles control logic but also data preprocessing and post-processing. Recommend dual-socket Intel Xeon Gold series (e.g., 8480+) or dual-socket AMD EPYC series (e.g., 9654), with at least 32 cores per socket and abundant PCIe 5.0 lanes. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-086 Q: How much memory does an AI server need?
A: 256GB is recommended as a starting point, with 512GB-1TB recommended for training scenarios. Memory size affects data loading and preprocessing efficiency. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-087 Q: How to configure storage for an AI server?
A:
System drive: 2 NVMe SSDs in RAID 1;
Data drive: Multiple large-capacity NVMe SSDs, recommended 4-8TB; higher IOPS is better (model loading and data preprocessing require high-speed read/write);
Storage network: InfiniBand or RoCE recommended. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-088 Q: What is the approximate price of an AI server?
A:
Entry-level (1-2 GPUs): 100,000-300,000 CNY;
Mid-range (4 GPUs): 500,000-1,000,000 CNY;
High-end (8 GPUs): 2,000,000-5,000,000 CNY. With NVIDIA H100 (approximately 300,000 CNY per card), total system cost easily exceeds 2,000,000 CNY. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-089 Q: What is the difference between an AI server and a GPU server?
A: An AI server is a subset of GPU servers, but AI servers emphasize:
Pre-installed AI frameworks: PyTorch/TensorFlow pre-optimized;
Cluster communication: NVSwitch/InfiniBand hardware integration;
High-density deployment: Supports 8+ cards in compact designs;
Full-stack AI optimization: Hardware-software integrated tuning. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-090 Q: What are the energy and cooling requirements for AI servers?
A: An 8×H100 system consumes over 5,600W to more than 10,000W, with extremely high rack power density. Cooling solutions:
Air cooling: Requires high-airflow cabinets;
Liquid cooling: More efficient, suitable for high-density deployment;
Immersion liquid cooling: Ultimate cooling, suitable for large data centers. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-091 Q: What are the network configuration requirements for AI servers?
A: Large-scale AI training requires high-speed communication between GPUs:
InfiniBand: 400G/800G, ultra-low latency;
RoCE (RDMA over Converged Ethernet): RDMA low-latency network;
NVSwitch: Full interconnect between GPUs, with approximately 900GB/s bandwidth. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-092 Q: Which industries are AI servers suitable for?
A:
Internet: Large model training (GPT/LLaMA);
Finance: Risk models, quantitative trading;
Healthcare: Medical imaging AI diagnosis;
Autonomous driving: Model training and simulation;
Smart manufacturing: Quality inspection, predictive maintenance;
Research: Scientific computing integrated with AI. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-093 Q: What configuration is needed to deploy large models on an AI server?
A:
7B-13B parameter models: Can be deployed on a single A100/H100 (80GB);
70B parameter models: 2-4 A100/H100 GPUs;
175B+ parameter models: 8 or more A100/H100 GPUs;
Inference scenarios: VRAM requirement is approximately 2x the model parameters (FP16 precision). Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-094 Q: How to ensure the security of an AI server?
A:
Data encryption: Encrypt model and data storage;
Access control: Strict permission management to prevent model leakage;
Trusted computing: TPM/TDX and other technologies for protection;
Firmware updates: Regularly update BMC and GPU drivers;
Physical security: Physical isolation in data centers.
SVR-095 Q: What models of NVIDIA DGX are available?
A:
DGX A100: 8×A100 80GB, classic model;
DGX H100: 8×H100 80GB, mainstream model;
DGX B200 (Blackwell): Latest model, peak performance;
DGX Station: Desktop-grade AI workstation. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-096 Q: What domestic AI servers are available?
A:
Huawei Atlas: Ascend 910/310 AI processors, fully domestic;
Inspur NF5488/NF5688: Supports NVIDIA/domestic GPUs;
Sugon: Fully domestic AI servers with Cambricon and other GPUs;
Cambricon: Self-developed Siyuan AI accelerator cards. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-097 Q: What are the 2026 trends for AI servers?
A:
Liquid cooling becoming mainstream: High-density deployment driving liquid cooling to become standard;
Inference demand surge: Large model application adoption driving rapid growth in inference servers;
Domestic acceleration: Domestic AI chips (Ascend, Cambricon) gaining share;
Blackwell architecture adoption: B200 gradually replacing H100.
SVR-098 Q: Is an AI server just a server with a few GPUs?
A: Not entirely. AI servers are not merely servers equipped with GPUs; they involve full-stack optimization of CPU, memory, storage, networking, cooling, and chassis design. Professional AI servers enable high-speed data exchange between GPUs (e.g., NVSwitch), which ordinary servers with GPUs cannot achieve.
SVR-099 Q: Is it necessary to buy an AI server for AI work?
A: Not necessarily. Startups/academic labs can use cloud services as an alternative (pay-as-you-go); consumer-grade GPUs (e.g., RTX 4090) can also be used, offering good cost-performance but slightly less stability. Large enterprises/long-term training tasks should consider purchasing professional AI servers.
SVR-101 Q: What is a storage server?
A: A storage server is a server specifically designed for data storage and management, equipped with large-capacity hard drive arrays, high-performance storage controllers, and dedicated storage operating systems. It handles centralized data storage, backup, and sharing, serving as core data center infrastructure.
SVR-102 Q: What is the difference between a storage server and a regular server?
A:
Hardware: Storage servers have more drive bays (12-96 bays), while regular servers typically have 4-8 bays;
Function: Storage servers focus on data storage and management;
Operating system: Storage servers typically come with NAS/storage-dedicated systems (e.g., TrueNAS, Synology DSM), while regular servers run general-purpose OSes.
SVR-103 Q: What are the main uses of a storage server?
A:
Data center core storage;
Enterprise file servers;
Video surveillance storage;
Backup and disaster recovery;
Virtualization storage pools;
Big data analytics data lakes.
SVR-104 Q: What are the differences between file storage, block storage, and object storage?
A:
File storage (NAS): File-based, suitable for shared documents, protocols NFS/SMB;
Block storage (SAN): Block-based, suitable for databases and virtualization, protocols FC/iSCSI;
Object storage (OBS): Object-based, suitable for massive unstructured data, protocol S3.
SVR-105 Q: What are NAS, SAN, and DAS?
A:
DAS (Direct-Attached Storage): Storage devices directly connected to servers, low cost but poor scalability;
NAS (Network-Attached Storage): Network-accessible storage, suitable for file sharing;
SAN (Storage Area Network): High-speed storage network over fiber/Ethernet, suitable for databases and virtualization.
SVR-106 Q: How to choose a storage server?
A:
Capacity requirements: Estimate initial capacity and growth over 3-5 years;
Performance requirements: IOPS/throughput requirements;
Protocol support: Whether block/file/object all-protocol support is needed;
Availability: Whether dual-controller redundancy is needed;
Scalability: Whether online expansion is supported;
Brand: Dell Isilon, NetApp, Huawei OceanStor, Inspur, etc. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-107 Q: How many drive bays does a storage server need?
A:
Small enterprises: 4-8 bays;
Mid-sized enterprises: 12-24 bays;
Large enterprises: 48-96 bays;
Ultra-large scale: Modular expansion to thousands of bays. The number of bays determines maximum storage capacity. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-108 Q: Should I choose HDD or SSD for a storage server?
A:
HDD (hard disk drive): Lower cost per unit capacity, suitable for cold data and backups;
SSD (solid-state drive): Faster, suitable for hot data and databases;
Combined solution: SSD cache for hot data, HDD for cold data;
Enterprise-grade SSD: NVMe SSDs offer the highest performance. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-109 Q: What is the approximate price of a storage server?
A:
Entry-level (8 bays): 20,000-50,000 CNY;
Mid-range (16-24 bays): 100,000-300,000 CNY;
High-end (48+ bays with dual controllers): 500,000-2,000,000 CNY;
Ultra-large scale storage: Millions to tens of millions of CNY. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-110 Q: What are the storage server brands?
A:
International: Dell Isilon/PowerStore, NetApp, Pure Storage, HPE, IBM;
Domestic: Huawei OceanStor, Inspur AS series, Sugon, MacroSan, Toyou. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-111 Q: How to choose the RAID level for a storage server?
A:
RAID 0: Highest performance but no redundancy, risk of data loss;
RAID 1: Mirroring, reliable but halves capacity;
RAID 5: Balances capacity and reliability, requires at least 3 drives, allows 1 drive failure;
RAID 6: More secure, allows 2 drive failures;
RAID 10: Performance + reliability, higher cost. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-112 Q: What is the role of cache in a storage server?
A: Storage cache uses high-speed memory or SSDs to temporarily store frequently accessed data, reducing read/write latency and improving storage performance. High-end storage controllers are equipped with large caches and BBUs (battery backup units) to prevent data loss during power outages. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-113 Q: What is the difference between distributed and centralized storage?
A:
Centralized storage: Unified controller, simple management, suitable for small to medium scale, but has single point of failure risk;
Distributed storage: Multi-node collaboration, no single point of failure, horizontal scalability, suitable for massive data and cloud computing scenarios (e.g., Ceph, HDFS). For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-114 Q: Is a storage server suitable for backup storage?
A: Very suitable. Storage servers can deploy backup software (e.g., Veeam, Commvault) for automated data backup and disaster recovery. RAID 6 + off-site backup is recommended for data security. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-115 Q: Is a storage server suitable for video surveillance storage?
A: Yes. Video surveillance storage requires large capacity, continuous writing, and low cost. SATA HDDs with RAID 5/6 configuration are recommended, supporting CVR or NVR architectures for 7×24 continuous write requirements. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-116 Q: Is a storage server suitable for virtualization storage?
A: Yes. Virtualization storage requires high performance and high availability. Block storage (SAN) or hyper-converged infrastructure (HCI) is recommended, with SSD caching + RAID 10 to ensure VM I/O performance. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-117 Q: How to choose between all-flash and hybrid storage?
A:
All-flash: High performance, low latency (<1ms), suitable for high-performance scenarios like databases and AI training, but higher cost;
Hybrid storage: SSD+HDD combination, balancing performance and capacity, with good cost-performance. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-118 Q: How to ensure data security for a storage server?
A:
RAID redundancy: Hardware-level protection;
Snapshots: Regularly create data snapshots;
Off-site backup: Replicate data to remote storage;
Encryption: Encrypted storage and transmission of data;
Access control: User/role-based permission management.
SVR-119 Q: What are the maintenance points for a storage server?
A:
Regularly check hard drive status: Monitor S.M.A.R.T. information;
Clean dust: Prevent cooling issues;
Update firmware: Keep storage controller firmware up to date;
Capacity monitoring: Expand in advance to avoid full drives;
Log review: Check system alerts.
SVR-120 Q: Is larger hard drive capacity always better?
A: Not necessarily. Large-capacity drives (e.g., 20TB+) have extremely long rebuild times (days) in case of single drive failure, during which RAID reliability decreases. Balance capacity, performance, reliability, and rebuild time based on business needs; don't simply pursue maximum capacity.
SVR-122 Q: How to choose among the six types of servers?
A:
ITAI compliance: Choose domestic servers (Hygon/Kunpeng/Phytium/Loongson);
AI inference/general enterprise: Choose Intel Xeon servers (mature ecosystem, AMX acceleration);
Large-scale virtualization/multi-threading: Choose AMD EPYC servers (high core density);
AI training/scientific computing: Choose GPU servers or AI servers;
Pure storage needs: Choose storage servers. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-123 Q: How to choose between domestic, Intel, and AMD servers?
A:
ITAI/compliance requirements: Must choose domestic servers;
AI inference/traditional enterprise: Intel Xeon;
Large-scale virtualization/multi-threading: AMD EPYC;
Budget priority: AMD generally offers better cost-performance at comparable configurations. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-124 Q: Are GPU servers and AI servers the same thing?
A: AI servers are a subset of GPU servers. AI servers are specifically optimized for AI workloads, emphasizing pre-installed AI frameworks, cluster communication, and high-density deployment; GPU servers have a broader scope, also including scientific computing and graphics rendering scenarios. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-125 Q: Does a storage server need a GPU?
A: Generally not. Storage servers primarily handle I/O-intensive tasks and do not require GPU acceleration. However, some scenarios (e.g., AI data lakes requiring GPU-accelerated near-data processing) are exceptions. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-126 Q: Can an AI server be used as a regular server?
A: Yes, but it's not economical. AI servers come with multiple expensive GPUs, and running only regular applications would severely waste GPU resources. AI servers should be dedicated to AI workloads, with regular applications deployed on general-purpose servers. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-127 Q: Which types of servers suit which enterprise sizes?
A:
Domestic/Intel/AMD general-purpose servers: All enterprise sizes;
GPU servers: Mid-to-large enterprises with AI/scientific computing needs;
AI servers: Mid-to-large enterprises with deep learning needs;
Storage servers: Mid-to-large enterprises with centralized storage needs. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-128 Q: Price range comparison among the six types of servers?
A:
General-purpose servers (Domestic/Intel/AMD): 10,000-300,000 CNY;
GPU servers: 100,000-5,000,000 CNY;
AI servers: 100,000-5,000,000 CNY;
Storage servers: 20,000-2,000,000 CNY. Cost pyramid: Storage < General-purpose < GPU/AI. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
SVR-129 Q: Power consumption comparison among the six types of servers?
A:
General-purpose servers: 300-800W;
GPU/AI servers (8 cards): 5-10kW+;
Storage servers: 500-1500W (higher with more bays). For high-density scenarios, prioritize cooling and power supply planning. Changfan IPC recommends verifying configurations based on business scale, port count, cooling conditions, and software compatibility; for rackmount, storage, AI, or domestic servers, selection and customization support are available upon project requirements, with parameters and pricing subject to the latest specifications.
SVR-130 Q: Application scenario matrix for the six types of servers?
A:
General-purpose: Web, databases, ERP, OA;
GPU/AI: AI training/inference, scientific computing, graphics rendering;
Storage: File sharing, backup, archiving, virtualization storage pools. In practice, Changfan IPC can evaluate interfaces, power consumption, temperature, and expansion needs for rackmount, storage, AI, or domestic servers based on actual scenarios; it is recommended to confirm software compatibility before finalizing the configuration.
SVR-131 Q: What are the future trends for servers?
A:
AI adoption: AI server penetration is rapidly increasing;
Liquid cooling: High power consumption driving liquid cooling to become standard;
Domestication: ITAI requirements driving domestic server share growth;
Heterogeneous computing: CPU+GPU+DPU collaboration;
Cloud-native design: Server designs better adapted to containers and microservices. For purchasing rackmount, storage, AI, or domestic servers, Changfan IPC can provide configuration verification, sample testing, and project customization support; pricing and delivery timelines are subject to current quotations and contract terms.
- Previous article Q&A about Industrial Control Computer Network Security Equipment Products
- Next article Q&A about Mini industrial PC products
