NVIDIA H200 Tensor Core GPU Supercharging AI and HPC workloads

The GPU for Generative AI and HPC The NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.   Unlock Insights With High-Performance LLM Inference In the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base. The H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2. /* Wrapper */ .xp-llm-section { padding: 50px 20px; background: #f5f5f5; } /* Container */ .xp-llm-container { max-width: 1100px; margin: auto; display: flex; align-items: center; gap: 40px; flex-wrap: wrap; } /* Image */ .xp-llm-image { flex: 1; min-width: 280px; } .xp-llm-image img { width: 100%; height: auto; border-radius: 6px; } /* Content */ .xp-llm-content { flex: 1; min-width: 280px; } .xp-llm-title { font-size: 28px; font-weight: 700; margin-bottom: 15px; } .xp-llm-text { font-size: 14px; color: #555; line-height: 1.6; margin-bottom: 15px; } /* Button */ .xp-llm-btn { display: inline-block; margin-top: 10px; font-size: 14px; font-weight: 600; color: #000; text-decoration: none; border-bottom: 2px solid #76b900; padding-bottom: 3px; } .xp-llm-btn:hover { color: #76b900; } /* Mobile */ @media (max-width: 768px) { .xp-llm-container { flex-direction: column; text-align: center; } } Supercharge High-Performance Computing Memory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs. /* Section */ .xp-hpc-section { padding: 50px 20px; background: #f5f5f5; } /* Container */ .xp-hpc-container { max-width: 1200px; margin: auto; display: flex; gap: 40px; align-items: center; flex-wrap: wrap; } /* Left Content */ .xp-hpc-content { flex: 1; min-width: 300px; } .xp-hpc-title { font-size: 30px; font-weight: 700; margin-bottom: 15px; } .xp-hpc-text { font-size: 14px; color: #555; line-height: 1.7; } /* Right Charts */ .xp-hpc-charts { flex: 1; min-width: 300px; display: flex; gap: 20px; } /* Individual Chart */ .xp-hpc-chart-box { flex: 1; } .xp-hpc-chart-box img, .xp-hpc-chart-box svg { width: 100%; height: auto; } /* Mobile */ @media (max-width: 768px) { .xp-hpc-container { flex-direction: column; } .xp-hpc-charts { flex-direction: column; } } Reduce Energy and TCO With the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward. /* Section */ .xp-energy-section { padding: 50px 20px; background: #f5f5f5; } /* Container */ .xp-energy-container { max-width: 1100px; margin: auto; display: flex; align-items: center; gap: 40px; flex-wrap: wrap; } /* Chart */ .xp-energy-chart { flex: 1; min-width: 280px; } .xp-energy-chart img, .xp-energy-chart svg { width: 100%; height: auto; } /* Content */ .xp-energy-content { flex: 1; min-width: 280px; } .xp-energy-title { font-size: 30px; font-weight: 700; margin-bottom: 15px; } .xp-energy-text { font-size: 14px; color: #555; line-height: 1.7; } /* Mobile */ @media (max-width: 768px) { .xp-energy-container { flex-direction: column; text-align: center; } } Accelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL NVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL. /* Section */ .xp-accel-section { padding: 50px 20px; background: #f5f5f5; text-align: center; } /* Container */ .xp-accel-container { max-width: 1100px; margin: auto; } /* Title */ .xp-accel-title { font-size: 32px; font-weight: 700; margin-bottom: 25px; } /* Image */ .xp-accel-image { margin-bottom: 20px; } .xp-accel-image img { width: 100%; max-width: 900px; height: auto; border-radius: 6px; } /* Text */ .xp-accel-text { font-size: 14px; color: #555; line-height: 1.7; max-width: 900px; margin: auto; } /* Mobile */ @media (max-width: 768px) { .xp-accel-title { font-size: 24px; } } Specifications: H200 NVL FP64 30 TFLOPS FP64 Tensor Core 60 TFLOPS FP32 60 TFLOPS TF32 Tensor Core 835 TFLOPS BFLOAT16 Tensor Core 1,671 TFLOPS FP16 Tensor Core² 1,671 TFLOPS FP8 Tensor Core 3,341 TFLOPS INT8 Tensor Core 3,341 TFLOPS GPU Memory 141GB GPU Memory Bandwidth 4.8TB/s Decoders 7 NVDEC7 JPEG Confidential Computing Supported Max Thermal Design Power (TDP) Up to 600W (configurable) Multi-Instance GPUs Up to 7 MIGs @16.5GB each Form Factor PCIeDual-slot air-cooled Interconnect 2- or 4-way NVIDIA NVLink bridge:900GB/s per GPUPCIe Gen5: 128GB/s Server Options NVIDIA MGX H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs NVIDIA AI Enterprise Included