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サーバーケースカテゴリ製品主要パラメータ比較表

まず導入環境に応じて選択し、その後、マザーボードのサイズ、電源ユニット、ドライブベイ、拡張性、冷却性能、ラックの奥行き、ケーブル配線を確認してください。サーバーインフラは常に保護され、アクセス可能な状態を維持する必要があるため、製造品質と保守性は重要です。.

商品画像 サイズ（D×W×H mm） 素材 HDDベイ バックプレーン 冷却 モボサポート 電源ユニット PCIeスロット GPU容量 パッケージ (mm) 体重 カスタマイズをサポート
4U GPUサーバーシャーシ 800×447×177 1.0 mm SECC, Al alloy, Plastic 4×3.5″/2.5″ホットスワップSAS/SATA 12Gb/秒SAS、SGPIO 6×120×38mmインテリジェント (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11フルハイトPCIe 最大11GPU 1030×600×310 25キロ はい
4U GPUサーバーシャーシ 800×447×177 1.0 mm SECC、Al合金、プラスチック 4×3.5″/2.5″ホットスワップSAS/SATA/NVMe 12Gb/秒 SAS 6×120×38mmインテリジェント (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11フルハイトPCIe 最大11GPU 1030×600×310 25キロ はい
11個のPCIeスロットを備えた5U GPUサーバーシャーシ 890×447×220 1.0 mm SECC、Al合金、プラスチック 4×2.5″ホットスワップSATA 6Gb/秒SAS、SGPIO 6×120×38mmインテリジェント EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11フルハイトPCIe 最大11GPU 1120×600×360 30キロ はい
11個のPCIeスロットを備えた5U GPUサーバーシャーシ 890×447×220 1.0 mm SECC、Al合金、プラスチック 4×2.5″ホットスワップSATA 6Gb/秒SAS、SGPIO 6×120×38mmインテリジェント EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11フルハイトPCIe 最大11GPU 1130×610×370 30キロ はい
6U GPUサーバーシャーシ 860×447×265 1.0 mm SECC、Al合金、プラスチック 4×2.5″ホットスワップSATA 6Gb/秒SAS、SGPIO 6×120×38mmインテリジェント EATX/CEB/ATX/Micro-ATX 4+1 CRPS ハーフハイトPCIe×8 最大8GPU 1080×600×410 35キロ はい
6U GPUサーバーケース 860×447×265 1.0 mm SECC、Al合金、プラスチック 4×2.5″ホットスワップSATA 6Gb/秒SATA、SGPIO 6×120×38mm + 4×80×38mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 13ハーフハイトPCIe 最大13GPU 1080×600×410 35キロ はい
6U GPUサーバーシャーシ 860×447×265 1.0 mm SECC、Al合金、プラスチック 4×2.5″ホットスワップSATA 6Gb/秒SAS、SGPIO 6×120×38mmインテリジェント EATX/CEB/ATX/Micro-ATX 4+1 CRPS ハーフハイトPCIe×8 最大8GPU 1080×600×410 35キロ はい
4U GPUサーバーシャーシ 550×380×590 1.2 mm SGCC、4 mm Al合金 - - Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7フルハイトPCIe - 700×500×660 27キロ はい
4U GPUサーバーシャーシ 550×380×590 1.2 mm SGCC、4 mm Al合金 4×3.5″/2.5″ホットスワップSAS/SATA 12Gb/秒 SAS Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7フルハイトPCIe - 700×500×660 27キロ はい
6U GPUサーバーケース 550×380×685 1.2 mm SGCC、4 mm Al合金 4×3.5″または7×2.5″ノンホット - フロント:2×480mm径または8×120mmトップ:1×360mm径+3×120mmリア:1×90mm+1×120mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11フルハイトPCIe 6×4090カード 795×660×500 34 kg はい
WS06A-2 6U GPUサーバーケース 550×380×685 1.2 mm SGCC、4 mm Al合金 4×3.5″/2.5″ホットスワップ+ 4×3.5″または7×2.5″ノンホット SAS/SATA/NVMe フロント:2×480mm径または8×120mmトップ:1×360mm径+3×120mmリア:1×90mm+1×120mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11フルハイトPCIe 6×4090カード 795×660×500 34 kg はい

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.

シャーシガイドレールとは？

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.

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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.