Scalable 8 GPU AI Server Systems for Dense Computing

Customize Chassis
Request Quote

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

Tabla comparativa de parámetros clave de productos de la categoría de cajas para servidores GPU

Choose by deployment environment first, then verify motherboard size, power supplies, drive bays, expansion, cooling, rack depth, and cable routing. Build quality and serviceability matter because server infrastructure must stay protected and accessible.

Imagen del producto Tamaño (D×A×H mm) Material Bahías HDD Placa base Refrigeración Soporte para mob FUENTE DE ALIMENTACIÓN Ranuras PCIe Capacidad de la GPU Paquete (mm) Wt. Apoyo a la personalización
Chasis de servidor GPU 4U 800×447×177 1.0 mm SECC, Al alloy, Plastic 4×3,5″/2,5″ SAS/SATA intercambiables en caliente 12 Gb/s SAS, SGPIO 6×120×38 mm inteligente (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 PCIe de altura completa Hasta 11 GPU 1030×600×310 25 kg Sí
Chasis de servidor GPU 4U 800×447×177 1,0 mm SECC, aleación de Al, plástico 4×3,5″/2,5″ SAS/SATA/NVMe intercambiables en caliente 12 Gb/s SAS 6×120×38 mm inteligente (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 PCIe de altura completa Hasta 11 GPU 1030×600×310 25 kg Sí
5U GPU Server Chassis with 11 PCIe Slots 890×447×220 1,0 mm SECC, aleación de Al, plástico 4×2,5″ SATA intercambiables en caliente SAS 6 Gb/s, SGPIO 6×120×38 mm inteligente EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 PCIe de altura completa Hasta 11 GPU 1120×600×360 30 kg Sí
5U GPU Server Chassis with 11 PCIe Slots 890×447×220 1,0 mm SECC, aleación de Al, plástico 4×2,5″ SATA intercambiables en caliente SAS 6 Gb/s, SGPIO 6×120×38 mm inteligente EATX/CEB/ATX/Micro-ATX 4+1 CRPS 11 PCIe de altura completa Hasta 11 GPU 1130×610×370 30 kg Sí
6U GPU Server Chassis 860×447×265 1,0 mm SECC, aleación de Al, plástico 4×2,5″ SATA intercambiables en caliente SAS 6 Gb/s, SGPIO 6×120×38 mm inteligente EATX/CEB/ATX/Micro-ATX 4+1 CRPS 8 PCIe de media altura Hasta 8 GPU 1080×600×410 35 kg Sí
Caja para servidor GPU 6U 860×447×265 1,0 mm SECC, aleación de Al, plástico 4×2,5″ SATA intercambiables en caliente SATA 6 Gb/s, SGPIO 6×120×38 mm + 4×80×38 mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 4+1 CRPS 13 PCIe de media altura Hasta 13 GPU 1080×600×410 35 kg Sí
6U GPU Server Chassis 860×447×265 1,0 mm SECC, aleación de Al, plástico 4×2,5″ SATA intercambiables en caliente SAS 6 Gb/s, SGPIO 6×120×38 mm inteligente EATX/CEB/ATX/Micro-ATX 4+1 CRPS 8 PCIe de media altura Hasta 8 GPU 1080×600×410 35 kg Sí
Chasis de servidor GPU 4U 550×380×590 1,2 mm SGCC, 4 mm aleación de Al - - Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7 PCIe de altura completa - 700×500×660 27 kg Sí
Chasis de servidor GPU 4U 550×380×590 1,2 mm SGCC, 4 mm aleación de Al 4×3,5″/2,5″ SAS/SATA intercambiables en caliente 12 Gb/s SAS Front:7×120×38Top:6×120×38Rear:2×92×25 (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 7 PCIe de altura completa - 700×500×660 27 kg Sí
Caja para servidor GPU 6U 550×380×685 1,2 mm SGCC, 4 mm aleación de Al 4×3,5″ o 7×2,5″ no caliente - Delantero:2×480 mm rad u 8×120 mmTop:1×360 mm rad + 3×120 mmTrasero:1×90 mm + 1×120 mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11 PCIe de altura completa 6×4090 tarjetas 795×660×500 34 kg Sí
WS06A-2 6U GPU Server Case 550×380×685 1,2 mm SGCC, 4 mm aleación de Al 4×3,5″/2,5″ con intercambio en caliente+ 4×3,5″ o 7×2,5″ sin intercambio en caliente SAS/SATA/NVMe Delantero:2×480 mm rad u 8×120 mmTop:1×360 mm rad + 3×120 mmTrasero:1×90 mm + 1×120 mm (15″×13″)/EATX/CEB/ATX/Micro-ATX 2×ATX 11 PCIe de altura completa 6×4090 tarjetas 795×660×500 34 kg Sí

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.

¿Qué son los raíles guía del chasis?

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.

Check Compatibility

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.