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Nvidia H100: Next-Generation Data Center GPU for AI and HPC

The Nvidia H100 is a state-of-the-art data center GPU based on the Hopper architecture, designed for cutting-edge AI training, inference, and high-performance computing (HPC). It delivers unprecedented compute power, memory bandwidth, and scalability for enterprise and research applications.

Key Features of Nvidia H100

1. CUDA and Tensor Cores

  • Features 16,896 CUDA cores and 528 fourth-generation Tensor cores.
  • Optimized for deep learning, AI inference, and HPC workloads.
  • Supports FP64, FP32, TF32, BF16, INT8, and other precision modes, enabling maximum flexibility and efficiency.

2. Massive Memory

  • Equipped with 80 GB or 94 GB HBM3 memory.
  • Provides up to 3.35 TB/s memory bandwidth, ideal for large-scale AI models and simulations.
  • Supports NVLink and NVSwitch for multi-GPU scaling.
  • Enables high-speed communication between multiple GPUs for HPC clusters and AI supercomputers.

4. Multi-Instance GPU (MIG)

  • Fully supports MIG, allowing one H100 to be partitioned into up to seven GPU instances.
  • Each instance can operate independently, maximizing utilization in multi-tenant environments.

5. Power and Efficiency

  • TDP of 700W, designed for high-performance data center environments.
  • Optimized for energy-efficient operation with advanced cooling solutions.

Use Cases

  • AI Training and Inference: Supports massive models for natural language processing, computer vision, and generative AI.
  • High-Performance Computing (HPC): Scientific simulations, climate modeling, and physics calculations.
  • Cloud and Enterprise AI: Multi-tenant GPU acceleration for large-scale deployments.
  • AI Supercomputers: Ideal for next-generation AI research and enterprise HPC clusters.

Specifications

Specification Value
CUDA Cores 16,896
Tensor Cores 528 (4th Gen)
Memory 80–94 GB HBM3
Memory Bandwidth Up to 3.35 TB/s
TDP 700W
NVLink / NVSwitch Yes
Multi-Instance GPU Yes

Conclusion

The Nvidia H100 is a next-generation data center GPU engineered for extreme AI and HPC workloads. With massive CUDA and Tensor cores, high-bandwidth HBM3 memory, and MIG support, it is ideal for researchers, enterprises, and cloud providers needing top-tier GPU performance and scalability.