GB10281N
HGX H200 8-GPU Al Supercomputing Server to Bring the Next-level GPU Performance
Support NVIDIA HGX H200 8-GPU
Deploy NVIDIA NVLink® & NVSwitch™ Technology
Two-layer GPU & IO Sleds for Easy Scalability and Better Thermal Efficiency
Support 20 x PCIe 5.0 Slots & 32 x NVMe Drive Bays
Air Cooling Solution
Deploy NVIDIA NVLink® & NVSwitch™ Technology
Two-layer GPU & IO Sleds for Easy Scalability and Better Thermal Efficiency
Support 20 x PCIe 5.0 Slots & 32 x NVMe Drive Bays
Air Cooling Solution
Application
High Performance Computing
AI and Machine Learning
Large Language Model (LLM)
Generative AI
HGX H200 8-GPU Al Supercomputing Server
Engineered to supercharge generative AI and high-performance computing, the AI server unlocks the power of eight H200 Tensor Core GPUs, each connected through extremely fast fourth-generation NVIDIA NVLink, to deliver 32 petaflops of performance for the next-level computing acceleration. With faster and larger HBM memory compared to prior generation, the system enables faster data transfer and reduces processing bottlenecks, ready to accelerate workflows and drive breakthroughs in AI and HPC.
Innovative Disaggregated Approach
The AI server can be directly connected to a single CPU head node server, creating a unified AI solution. This disaggregated GPU and CPU approach enhances flexibility, enabling you to select the CPU head node server that best suits your needs.
High Expansion Capability
Adopting a one-GPU-to-one-NIC topology, the powerful server offers high expansion capability by accommodating 8 NICs, which enables fast interconnections between GPUs within a GPU cluster. In addition, its two-layer design features easy scalability up to 32 NVMe Drives and enhances thermal efficiency, allowing the server to deliver unprecedented performance and agility.
Certification
| Supported GPU |
NVIDIA HGX H200 8-GPU |
| Expansion Slots |
20 x PCIe 5.0 x16 Slots |
| Storage |
32 x Hot-swap U.2 NVMe Drive Bays |
| Front Panel |
1 x Power LED, 1 x UID LED, 1 x Attention LED |
| Form Factor | 10 U Rackmount (4U IOB Sled with 4U GPU Sled) |
| Chassis Dimensions (H x W x D) |
17.3" x 20.0"x 37.3"/ 440.5mm x 508.0mm x 948.8mm |
|
Management |
1 x ASPEED AST2600 |
| Power Supply | 5+5 Redundant 3000W Platinum Power Supplies |
|
Fans |
24 x 80*80mm for N+1 Cooling Redundancy |
| Certification | CE/FCC/BSMI/UL/IECEE CB |
|
Operating Temperature |
10°C to 35°C (50°F to 95°F) |
| Non-operating Temperature | -40°C to 60°C (-40°F to 140°F) |
|
Operating Relative Humidity |
8% to 85%RH |
| Non-operating Relative Humidity | 5% to 95%RH |
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