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GPU 8x NVIDIA H100 Tensor Core GPUs GPU memory 640GB total Performance 32 ×2
US $870,000.00
ApproximatelyS$ 1,127,520.00
Condition:
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Shipping:
Free FedEx 2Day®.
Located in: Irvine, California, United States
Delivery:
Estimated between Sat, 20 Dec and Mon, 22 Dec to 94104
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
About this item
Seller assumes all responsibility for this listing.
eBay item number:357167243449
Item specifics
- Condition
- Brand
- NVIDIA
- Connectors
- PCIe connectivity, NVLink Switch System, 4 AirMax power connectors up to 6,860 watts of power
- Chipset Manufacturer
- NVIDIA
- Memory Size
- 80GB per GPU (Total: 640GB across 8 GPUs)
- APIs
- CUDA, OpenACC, Vulkan, TensorRT, cuDNN, DirectX, OpenCL, NVLink/NVSwitch API, NCCL (NVIDIA Collective Communications Library), MPI (Message Passing Interface)
- Features
- Tensor Cores (4th Gen), Up to 60 TFLOPS FP64, 1,979 TFLOPS FP8, Optimized for LLMs, Deep Learning & Scientific Computing, 80GB HBM3 per GPU, 640GB total memory, Up to 3.35TB/s memory bandwidth per GP, NVLink 4.0 & NVSwitch Fabric, GPU-to-GPU communication NVLink 4.0 (900GB/s per GPU), full interconnect bandwidth between all 8 GPUs, PCIe Gen5 & High-Speed Interconnects, NVIDIA Magnum IO improved storage & network acceleration, 8x NVIDIA H100 SXM5 GPUs unprecedented AI & HPC acceleration, Optimized for AI Workloads, Transformer Engine for accelerating LLMs like ChatGPT., FP8, FP16, TF32, INT8 & FP64 for various AI & HPC workloads, Accelerates TensorFlow, PyTorch, JAX, Data Center & Cloud Ready, Designed for hyperscale AI training, inference & supercomputing, NVIDIA AI Enterprise and DGX system, Energy Efficiency & Cooling, Passive cooling advanced data center cooling solution, Optimized power consumption for AI workloads
- MPN
- N/A
- Cooling Component Included
- Passive Cooling
- Memory Type
- HBM3
- Chipset/GPU Model
- H100 8*80GB HGX SXM5 GPU Baseboard
Item description from the seller
Seller feedback (14)
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