Scalable 8 GPU AI Server Systems for Dense Computing

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A GPU and AI computing chassis is a high-density enclosure built around multiple graphics processing units (GPUs), a central processing unit (CPU), high-wattage power supplies, advanced cooling, fast storage, and low-latency networking. It places more accelerated compute in each rack while preserving service access, thermal headroom, and expansion flexibility.

What Is a GPU & AI Server Chassis?

A GPU-focused enclosure is engineered around card spacing, airflow, power delivery, I/O, and structural support. A general-purpose server is designed for broader compute, storage, or virtualization needs. Accelerated systems concentrate more heat, power, and high-speed connectivity, so the complete platform requires specialized engineering.

GPU & AI Server Chassis
GPU & AI Server Chassis

Evaluate the GPU platform, storage, networking, cooling, and power separately; physical fit is insufficient.

GPU & AI Server Chassis

GPU 서버 케이스 카테고리 제품 키 매개변수 비교표

먼저 구축 환경을 선택한 다음, 마더보드 크기, 전원 공급 장치, 드라이브 베이, 확장성, 냉각, 랙 깊이 및 케이블 배선 등을 확인하십시오. 서버 인프라는 항상 안전하게 보호되고 접근 가능해야 하므로, 제작 품질과 유지보수 용이성은 매우 중요합니다.

제품 이미지 크기(D×W×H mm) 재료 HDD 베이 백플레인 냉각 모보 지원 PSU PCIe 슬롯 GPU 용량 패키지(mm) Wt. 지원 사용자 지정
4U GPU 서버 섀시 800×447×177 1.0 mm SECC, Al alloy, Plastic 4×3.5인치/2.5인치 핫스왑 SAS/SATA 12Gb/s SAS, SGPIO 6×120×38mm 인텔리전트 (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 풀 높이 PCIe 최대 11개의 GPU 1030×600×310 25kg 예
4U GPU 서버 섀시 800×447×177 1.0mm SECC, Al 합금, 플라스틱 4×3.5인치/2.5인치 핫스왑 SAS/SATA/NVMe 12Gb/s SAS 6×120×38mm 인텔리전트 (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 풀 높이 PCIe 최대 11개의 GPU 1030×600×310 25kg 예
PCIe 슬롯 11개가 장착된 5U GPU 서버 섀시 890×447×220 1.0mm SECC, Al 합금, 플라스틱 4×2.5인치 핫스왑 SATA 6Gb/s SAS, SGPIO 6×120×38mm 인텔리전트 EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 풀 높이 PCIe 최대 11개의 GPU 1120×600×360 30kg 예
PCIe 슬롯 11개가 장착된 5U GPU 서버 섀시 890×447×220 1.0mm SECC, Al 합금, 플라스틱 4×2.5인치 핫스왑 SATA 6Gb/s SAS, SGPIO 6×120×38mm 인텔리전트 EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 풀 높이 PCIe 최대 11개의 GPU 1130×610×370 30kg 예
6U GPU 서버 섀시 860×447×265 1.0mm SECC, Al 합금, 플라스틱 4×2.5인치 핫스왑 SATA 6Gb/s SAS, SGPIO 6×120×38mm 인텔리전트 EATX/CEB/ATX/Micro-ATX 4+1 CRPS 8 하프 높이 PCIe 최대 8개의 GPU 1080×600×410 35kg 예
6U GPU 서버 케이스 860×447×265 1.0mm SECC, Al 합금, 플라스틱 4×2.5인치 핫스왑 SATA 6Gb/s SATA, SGPIO 6×120×38mm + 4×80×38mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 13 하프 높이 PCIe 최대 13개의 GPU 1080×600×410 35kg 예
6U GPU 서버 섀시 860×447×265 1.0mm SECC, Al 합금, 플라스틱 4×2.5인치 핫스왑 SATA 6Gb/s SAS, SGPIO 6×120×38mm 인텔리전트 EATX/CEB/ATX/Micro-ATX 4+1 CRPS 8 하프 높이 PCIe 최대 8개의 GPU 1080×600×410 35kg 예
4U GPU 서버 섀시 550×380×590 1.2mm SGCC, 4mm Al 합금 - - Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7 풀 높이 PCIe - 700×500×660 27kg 예
4U GPU 서버 섀시 550×380×590 1.2mm SGCC, 4mm Al 합금 4×3.5인치/2.5인치 핫스왑 SAS/SATA 12Gb/s SAS Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7 풀 높이 PCIe - 700×500×660 27kg 예
6U GPU 서버 케이스 550×380×685 1.2mm SGCC, 4mm Al 합금 4×3.5인치 또는 7×2.5인치 비고정형 - 전면:2×480mm rad 또는 8×120mm상단:1×360mm rad + 3×120mm후면:1×90mm + 1×120mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11 풀 높이 PCIe 6×4090 카드 795×660×500 34kg 예
WS06A-2 6U GPU 서버 케이스 550×380×685 1.2mm SGCC, 4mm Al 합금 4×3.5인치/2.5인치 핫스왑+ 4×3.5인치 또는 7×2.5인치 비핫스왑 SAS/SATA/NVMe 전면:2×480mm rad 또는 8×120mm상단:1×360mm rad + 3×120mm후면:1×90mm + 1×120mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11 풀 높이 PCIe 6×4090 카드 795×660×500 34kg 예

Which AI, Rendering, and HPC Tasks Does It Support?

These systems support AI workloads such as AI training, inference, machine learning, rendering, simulation, visualization, and high-performance computing (HPC) when the selected accelerator, software stack, memory, and interconnect match the application. They can address AI and HPC workloads, but the enclosure alone does not determine high performance or fit for a workload.

Candidates may include NVIDIA H100, Hopper-based H200, H200 NVL, B300, L40S, NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs, AMD accelerator options, or Intel Data Center GPU Max Series. These third-party options require configuration validation. Video memory (VRAM) labels such as 96GB or 141GB describe specific models, not chassis capability. An RTX PRO 6000 Blackwell label requires SKU confirmation.

How Should You Validate GPU, CPU, Memory, and Storage Fit?

How Do Airflow and Power Design Affect Installation?

Validation covers card form factor, Peripheral Component Interconnect Express (PCIe) generation and lane allocation, CPU sockets, motherboard layout, memory channels and DIMM slots, storage backplanes, firmware, and power connectors. Mechanical fit does not prove safe operation or full throughput.

Dual AMD EPYC and Intel Xeon Scalable processor platforms differ in sockets, memory, and lanes. High core-count designs change cooling needs. An “8 PCIe” slot claim does not guarantee spacing or bifurcation. Document compatibility against the final bill of materials.

Cooling and power determine whether a dense GPU design can sustain its intended application inside a real rack. Airflow direction, fan pressure, inlet conditions, cable obstruction, liquid-loop architecture, supply redundancy, and facility power must be evaluated together before deployment.

Air cooling requires unobstructed front-to-back flow and adequate heat rejection. Liquid cooling adds facility, manifold, leak-management, and service requirements. Do not assume a 3000W or titanium power design; confirm PSU ratings, redundancy, and thermal limits.

How Do Storage and Network Fabrics Support Scaling?

Fast storage and networking keep GPUs supplied with data and connect nodes for larger jobs. Non-Volatile Memory Express (NVMe) reduces local storage latency, while fabric speed, topology, and software determine whether multi-node scaling delivers useful application throughput.

NVLink connects supported GPUs within certain platforms; InfiniBand can connect systems across a cluster. An HGX, PCIe-based, or scalable GPU platform may use different topologies. Validate switch capacity, NVMe drives, and bandwidth before attempting to scale AI.

섀시 가이드 레일이란?

What GPU server chassis sizes does iSTONECASE offer?

iSTONECASE currently presents 4U, 5U, and 6U GPU server case categories for different density, cooling, storage, and expansion requirements. The appropriate form factor depends on the selected motherboard, GPU layout, power architecture, and service-access needs.

Provide the GPU model, quantity, card dimensions, slot width, motherboard format, CPU platform, riser layout, storage requirements, and power-supply plan. Because PCIe spacing and internal layouts vary by model, iSTONECASE should confirm compatibility against the complete configuration before ordering.

Yes. iSTONECASE offers OEM and ODM services covering requirements consultation, chassis design, prototyping, customization, production, testing, logistics, and after-sales support. Customization may address enclosure dimensions, internal layout, cooling, storage, connector placement, branding, and production volume.

Available cooling arrangements depend on the selected chassis. iSTONECASE lists GPU cases with multiple high-airflow fan positions and models designed for radiator-based cooling. Buyers should confirm fan specifications, radiator clearances, airflow direction, heat load, and facility requirements during

Include your workload, preferred GPU models and quantity, motherboard, CPU platform, storage, networking, rack-depth limit, cooling method, power design, required ports, order quantity, and customization goals. This information helps iSTONECASE evaluate a standard product or prepare an OEM/ODM proposal.

호환성 확인

Ready to Configure the Right GPU & AI Server Chassis?

Share your AI or HPC workload, GPU model and quantity, motherboard platform, storage, networking, rack depth, cooling method, and power requirements. iSTONECASE will evaluate component fit, airflow, expansion, and service access to recommend a suitable standard or custom chassis configuration.