Achieve excellent performance, scalability, and security in each workload through NVIDIA H800 Tensor Core GPU. Using NVIDIA ® NVLink ® The Switch system can connect up to 256 H800s to accelerate exascale workloads, and can also handle trillions of parameter language models through a dedicated Transformer engine. Compared to the previous generation of products, the comprehensive technological innovation of H800 can increase the speed of large language models by 30 times, providing industry-leading conversational AI.
Model name NVIDIA H800 80G PCIe
GPU graphics memory 80GB HBM2e
Memory bandwidth 2TB/s
CUDA core 14592
Hardware interface PCIe 5.0 x16
ray tracing No
The chip architecture Hopper
NVLINK supports the use of a bridge
VGPU support is
FP16 Tensor Core 756.5 TFLOPS
Multi instance GPU (MIG): Up to 7 MIGs, each 10GB
Power consumption: 300-350w
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