Question 1

What are the main differences between NVIDIA H100 and H200 GPUs?

Accepted Answer

The H200 nearly doubles memory (141GB HBM3e vs 80GB HBM3) and boosts bandwidth by 42%, making it better for large AI models and HPC workloads.

Question 2

Is the NVIDIA H200 better than the H100 for AI training?

Accepted Answer

Yes. The H200’s HBM3e memory and higher bandwidth improve training throughput and enable handling of larger datasets and models compared to the H100.

Question 3

How much will NVIDIA H200 cost compared to H100 in 2025?

Accepted Answer

The H200 will be priced higher due to advanced memory tech and initial limited availability. Cloud providers are expected to offer premium-priced instances.

Question 4

Can startups access H100 and H200 GPUs through cloud providers?

Accepted Answer

Yes. GreenNode provides access to H100 instances, with H200 availability rolling out in 2025. This makes GPUs accessible without hardware investment.

NVIDIA H100 vs H200: Key Differences in Performance, Specs, and AI Workloads