What is the NVIDIA H100 GPU?

The NVIDIA H100 GPU is a high-performance accelerator built on the Hopper architecture, designed for large-scale AI, data analytics, and high-performance computing (HPC). It features HBM3 memory, NVLink interconnect, and advanced Tensor Cores for unmatched speed and scalability.

What makes the H100 GPU ideal for AI workloads?

H100 GPUs deliver up to 6× higher AI training performance and 3× faster inference throughput compared to the previous generation. They’re purpose-built for LLMs, GenAI, and high-throughput inference — offering exceptional efficiency in both compute and memory bandwidth.

How much memory does the H100 have?

Each H100 GPU comes with 80 GB of HBM3 memory and 3.35 TB/s memory bandwidth, enabling rapid data access for memory-intensive AI workloads.

Can the H100 be used for distributed GPU clusters?

Yes. The H100 supports NVLink and NVSwitch, allowing multi-GPU communication with up to 900 GB/s interconnect speed, making it ideal for massive distributed AI training and HPC clusters.

Is the H100 energy-efficient?

Yes, the H100 is engineered for maximum performance per watt, thanks to its advanced cooling, power optimization, and intelligent workload scheduling — helping reduce operational costs while maintaining top-tier performance.

What frameworks and OS are supported on H100 GPUs?

The H100 supports major AI and HPC frameworks such as TensorFlow, PyTorch, JAX, and CUDA 12+, and works with leading Linux distributions like Ubuntu, RHEL, and Rocky Linux..

How can I deploy H100 GPU instances with inhosted.ai?

You can launch H200 GPU instances in under a minute across global regions. Visit https://www.inhosted.ai/ to explore configurations, transparent pricing, and enterprise deployment options.

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