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NVIDIA H200 Tensor Core GPU

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NVIDIA H200 Tensor Core GPU

Product Specifications

Description

The NVIDIA H200 Tensor Core GPU is a cutting-edge AI accelerator designed for the most demanding workloads in generative AI, deep learning, and high-performance computing (HPC). As the first GPU powered by HBM3e high-bandwidth memory, the H200 enables enterprises to train and deploy massive language models with exceptional speed, scalability, and efficiency.

Built on the robust NVIDIA Hopper architecture, the H200 GPU delivers 141 GB of HBM3e memory and up to 4.8 terabytes per second (TB/s) memory bandwidth. These capabilities make it ideal for data centers, research institutions, and AI-driven enterprises seeking ultra-fast throughput and seamless integration into NVIDIA’s AI software ecosystem.

With support for large language models (LLMs), foundation model training, generative AI applications, and real-time inference, the H200 is engineered to meet modern AI challenges and deliver maximum computational performance.


Key Features of NVIDIA H200 GPU
  • Advanced Hopper GPU architecture optimized for AI and HPC workloads
  • 141 GB of HBM3e memory delivering extreme bandwidth and data throughput
  • 4.8 TB/s memory bandwidth for large-scale inference and training tasks
  • Performance-tuned for LLMs, deep learning, and generative AI models
  • Seamless integration with the NVIDIA AI software stack including CUDA, TensorRT, and Triton
Target Applications
  • Training and inference of large language models (LLMs) and transformer networks
  • High-performance generative AI development and deployment
  • Scientific simulations and advanced data analytics
  • Enterprise AI infrastructure and multi-tenant cloud AI environments
Why Choose NVIDIA H200 for AI and HPC?

The NVIDIA H200 Tensor Core GPU sets a new standard in accelerated computing. Its powerful architecture, massive memory, and bandwidth enable rapid AI model iteration and scientific discovery. With full support for multi-instance GPU (MIG) and NVIDIA’s AI tools, the H200 offers a flexible, scalable, and future-ready platform for AI leaders.

Perfect for organizations looking to scale AI operations, reduce training time, and power next-generation intelligent applications, the H200 is a premium solution for AI workloads in modern data centers.

Main Specifications
Brand NVIDIA
Model H200 Tensor Core GPU
Form Factor SXM (H200 SXM1), PCIe Dual-Slot (H200 NVL1)
Architecture NVIDIA Hopper
FP64 34 TFLOPS (SXM1), 30 TFLOPS (NVL1)
FP64 Tensor Core 67 TFLOPS (SXM1), 60 TFLOPS (NVL1)
FP32 67 TFLOPS (SXM1), 60 TFLOPS (NVL1)
TF32 Tensor Core 989 TFLOPS (SXM1), 835 TFLOPS (NVL1)
BFLOAT16 Tensor Core 1,979 TFLOPS (SXM1), 1,671 TFLOPS (NVL1)
FP16 Tensor Core 1,979 TFLOPS (SXM1), 1,671 TFLOPS (NVL1)
FP8 Tensor Core 3,958 TFLOPS (SXM1), 3,341 TFLOPS (NVL1)
INT8 Tensor Core 3,958 TFLOPS (SXM1), 3,341 TFLOPS (NVL1)
GPU Memory 141 GB HBM3e
Memory Bandwidth 4.8 TB/s
Decoders 7 NVDEC + 7 JPEG (both variants)
Confidential Computing Supported
Max TDP Up to 700W (SXM1), Up to 600W (PCIe)
Multi-Instance GPU (MIG) Up to 7 MIGs: 18GB each (SXM1), 16.5GB each (PCIe)
Interconnect NVLink: 900 GB/s (SXM1), PCIe Gen5: 128 GB/s (both)
Server Platforms SXM1: NVIDIA HGX H200 & Certified Systems (4–8 GPUs)
NVL1: NVIDIA MGX H200 NVL & Certified Systems (up to 8 GPUs)
Software Support Compatible with NVIDIA AI Enterprise (Add-on)
Warranty 5-Year NVIDIA AI Enterprise Subscription Included

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C1300-24T-4X

  • High-density port configuration with 24x 10/100/1000 ports
  • 4x 10 Gigabit SFP+ uplink ports for high-speed connectivity
  • 256 Gbps switching capacity for superior performance
  • Advanced security features for network protection
  • Energy-efficient design for reduced power consumption
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