H200 vs H100

Complete comparison of NVIDIA's flagship AI GPUs. The H200 brings 76% more memory and 43% more bandwidth while maintaining the same powerful Hopper architecture.

Memory Upgrade

+76%

141GB vs 80GB HBM3e

Bandwidth Boost

+43%

4.8 TB/s vs 3.35 TB/s

LLM Inference

1.9x

Faster Llama2 70B

Performance Comparison

Memory Capacity+76%
H200141 GB HBM3e
H10080 GB HBM3
Memory Bandwidth+43%
H2004.8 TB/s
H1003.35 TB/s
Llama2 70B Inference+90%
H2001.9x Faster
H100Baseline
GPT-3 175B Inference+60%
H2001.6x Faster
H100Baseline

Full Specifications

SpecificationNVIDIA H200NVIDIA H100
Memory Capacity141 GB HBM3e80 GB HBM3
Memory Bandwidth4.8 TB/s3.35 TB/s
ArchitectureNVIDIA Hopper™NVIDIA Hopper™
Tensor Cores528528
FP8 Performance3,958 TFLOPS3,958 TFLOPS
TDP700W700W
InterconnectNVLink 4.0 (900 GB/s)NVLink 4.0 (900 GB/s)
Form FactorSXM5SXM5 / PCIe
Est. Price~$35,000~$25,000

Which GPU Should You Choose?

Choose H200 When...

  • Running large language models (70B+ parameters)
  • Memory-bound inference workloads
  • High-throughput inference serving
  • Reducing model parallelism overhead

Choose H100 When...

  • Budget is a primary constraint
  • Working with smaller models (<30B parameters)
  • Training workloads where compute is the bottleneck
  • Need PCIe form factor availability

Frequently Asked Questions

What is the main difference between H200 and H100?

The primary difference is memory. The H200 features 141GB of next-generation HBM3e memory compared to 80GB HBM3 on the H100. This 76% increase, combined with 43% more memory bandwidth, makes the H200 significantly faster for large language model inference where memory is the bottleneck.

Is H200 worth the extra cost?

For large-scale AI inference, yes. The H200's improved memory and bandwidth can deliver up to 1.9x better performance for LLM inference. This means you may need fewer GPUs to serve the same workload, potentially offsetting the higher per-unit cost.

Can I upgrade from H100 to H200?

The H200 uses the same SXM5 socket as the H100 SXM version, making it a potential drop-in replacement in compatible systems. However, you should verify compatibility with your specific server vendor and cooling requirements.

Want More Details?

Check out our full H200 specifications page for complete technical details, or explore the latest news and availability updates.