Getting to know the H100 GPU
NVIDIA released the H100 GPU last year and the market has found many use cases and has evolved into the marketing-leading enterprise GPU, being deployed in endless amounts of servers worldwide.
AI, and aided by the newly found ChatGPT as a use case for everything, is more on the radar than ever and enterprises are figuring out how to use AI to evolve.
In the words of NVIDIA themselves:
“NVIDIA H100 Tensor Core GPUs for mainstream servers come with a five-year software subscription, including enterprise support, to the NVIDIA AI Enterprise software suite, simplifying AI adoption with the highest performance. This ensures organizations have access to the AI frameworks and tools they need to build H100-accelerated AI workflows such as AI chatbots, recommendation engines, vision AI, and more.”
NVIDIAs old A100 was impressive - but the H100 really advanced the performance of NVIDIA's GPU set.
There are 6 interesting facts & advancements of the H100, provided by NVIDIA.- Built with 80 billion transistors using a cutting-edge TSMC 4N process custom tailored for NVIDIA’s accelerated compute needs, H100 is the world’s most advanced chip ever built. It features major advances to accelerate AI, HPC, memory bandwidth, interconnect, and communication at data center scale.
- The Transformer Engine uses software and Hopper Tensor Core technology designed to accelerate training for models built from the world’s most important AI model building block, the transformer. Hopper Tensor Cores can apply mixed FP8 and FP16 precisions to dramatically accelerate AI calculations for transformers.
- The NVLink Switch System enables the scaling of multi-GPU input/output (IO) across multiple servers at 900 gigabytes per second (GB/s) bidirectional per GPU, over 7X the bandwidth of PCIe Gen5. The system supports clusters of up to 256 H100s and delivers 9X higher bandwidth than InfiniBand HDR on the NVIDIA Ampere architecture.
- NVIDIA Confidential Computing is a built-in security feature of Hopper that makes NVIDIA H100 the world’s first accelerator with confidential computing capabilities. Users can protect the confidentiality and integrity of their data and applications in use while accessing the unsurpassed acceleration of H100 GPUs.
- The Hopper architecture’s second-generation MIG supports multi-tenant, multi-user configurations in virtualized environments, securely partitioning the GPU into isolated, right-size instances to maximize quality of service (QoS) for 7X more secured tenants.
- Hopper’s DPX instructions accelerate dynamic programming algorithms by 40X compared to CPUs and 7X compared to NVIDIA Ampere architecture GPUs. This leads to dramatically faster times in disease diagnosis, real-time routing optimizations, and graph analytics
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Getting to know the H100 GPU
NVIDIA released the H100 GPU last year and the market has found many use cases and has evolved into the marketing-leading enterprise GPU, being deployed in endless amounts of servers worldwide.
AI, and aided by the newly found ChatGPT as a use case for everything, is more on the radar than ever and enterprises are figuring out how to use AI to evolve.
In the words of NVIDIA themselves:
“NVIDIA H100 Tensor Core GPUs for mainstream servers come with a five-year software subscription, including enterprise support, to the NVIDIA AI Enterprise software suite, simplifying AI adoption with the highest performance. This ensures organizations have access to the AI frameworks and tools they need to build H100-accelerated AI workflows such as AI chatbots, recommendation engines, vision AI, and more.”
NVIDIAs old A100 was impressive - but the H100 really advanced the performance of NVIDIA's GPU set.
There are 6 interesting facts & advancements of the H100, provided by NVIDIA.
- Built with 80 billion transistors using a cutting-edge TSMC 4N process custom tailored for NVIDIA’s accelerated compute needs, H100 is the world’s most advanced chip ever built. It features major advances to accelerate AI, HPC, memory bandwidth, interconnect, and communication at data center scale.
- The Transformer Engine uses software and Hopper Tensor Core technology designed to accelerate training for models built from the world’s most important AI model building block, the transformer. Hopper Tensor Cores can apply mixed FP8 and FP16 precisions to dramatically accelerate AI calculations for transformers.
- The NVLink Switch System enables the scaling of multi-GPU input/output (IO) across multiple servers at 900 gigabytes per second (GB/s) bidirectional per GPU, over 7X the bandwidth of PCIe Gen5. The system supports clusters of up to 256 H100s and delivers 9X higher bandwidth than InfiniBand HDR on the NVIDIA Ampere architecture.
- NVIDIA Confidential Computing is a built-in security feature of Hopper that makes NVIDIA H100 the world’s first accelerator with confidential computing capabilities. Users can protect the confidentiality and integrity of their data and applications in use while accessing the unsurpassed acceleration of H100 GPUs.
- The Hopper architecture’s second-generation MIG supports multi-tenant, multi-user configurations in virtualized environments, securely partitioning the GPU into isolated, right-size instances to maximize quality of service (QoS) for 7X more secured tenants.
- Hopper’s DPX instructions accelerate dynamic programming algorithms by 40X compared to CPUs and 7X compared to NVIDIA Ampere architecture GPUs. This leads to dramatically faster times in disease diagnosis, real-time routing optimizations, and graph analytics