What are the key specs and features of the H200 GPU?

The NVIDIA H200 GPU is a cutting-edge graphics processing unit designed for advanced artificial intelligence (AI) and high-performance computing (HPC) workloads. It offers 141 GB of ultra-fast HBM3e memory with a bandwidth of 4.8 TB/s, delivering up to 4 petaFLOPS of FP8 performance and significantly enhanced AI model training and inference speeds. Built on the NVIDIA Hopper architecture, the H200 excels in power efficiency, scalability, and multi-GPU connectivity through NVLink, making it ideal for enterprise-scale AI, large language models (LLMs), and scientific computing applications.

Overview of the H200 GPU

The NVIDIA H200 GPU is the newest generation GPU based on the Hopper architecture, launched in mid-2024. It represents a substantial leap over the previous H100 model, offering nearly double the memory capacity and significantly increased memory bandwidth for faster data processing in complex AI and HPC tasks. The H200 is designed to handle large-scale generative AI models, multimodal vision-language workloads, and data-intensive scientific computations while maintaining energy-efficient operation.?

Key Specifications of NVIDIA H200

This spec sheet highlights the GPU's enormous memory and throughput capacity, supporting demanding AI and HPC workloads efficiently.?

Performance and Architectural Features

The H200 GPU elevates AI training and inference with:

• Nearly double the memory size compared to Rent GPU H100, improving capacity for large models.
• Enhanced tensor core operations including FP8 precision, boosting throughput to 4 petaFLOPS, which greatly speeds up AI model training and inference.
• Advanced NVLink technology that enables multi-GPU scalability with data exchange speeds of up to 900 GB/s.
• Power management innovations that achieve greater efficiency, lowering operational costs and environmental impact.
• Support for confidential computing, enabling secure AI workloads.?

Software and Developer Ecosystem Support

The H200 fully integrates with NVIDIA’s CUDA platform, optimized libraries like cuDNN and cuBLAS, and popular AI frameworks such as TensorFlow and PyTorch. The software stack supports enhanced precision modes (FP8, BF16) to balance speed and accuracy in model development, making it suitable for large foundation models and scalable AI deployment environments.?

Use Cases and Benefits for AI & HPC

• Accelerating large language models (LLMs) and generative AI for faster training and inference.
• Enhancing multimodal AI tasks, such as vision-language models.
• Supporting scientific research and simulations with HPC speedups up to 110 times over previous generation GPUs.
• Reducing AI deployment costs thanks to better energy efficiency and scalable multi-GPU configurations.
• Enabling secure AI workloads with confidential computing features.?

FAQs about NVIDIA H200 GPU

Q: How does the H200 compare with the H100?
A: The H200 offers nearly twice the memory capacity (141 GB vs 80 GB), 1.4x higher memory bandwidth (4.8 TB/s vs 3.4 TB/s), and up to 4 petaFLOPS FP8 performance, which is a significant improvement for large model training and inference.?

Q: What precision modes does the H200 support?
A: It supports FP8, FP16, BF16, INT8, and FP64 tensor core operations, allowing flexible precision for different AI workloads.?

Q: Can the H200 be used in multi-GPU setups?
A: Yes, it supports up to 7 Multi-Instance GPUs (MIGs) per physical GPU and features high-speed NVLink interconnect for multi-GPU scaling.?

Q: What industries benefit most from the H200?
A: Sectors like AI research, AI services, autonomous vehicles, healthcare imaging, and scientific computing gain substantial performance boosts from H200’s advanced features.?

Conclusion

The NVIDIA H200 GPU stands as a revolutionary advancement for AI and HPC, combining tremendous memory, blazing-fast performance, and efficient power use to meet the demands of next-gen AI models and scientific workloads. With Cyfuture AI, you can harness the full potential of H200’s capabilities in a scalable, secure cloud environment designed to accelerate your AI innovations and reduce operational costs. Investing in the H200 means future-proofing your AI infrastructure for the challenges of tomorrow.?