NVIDIA H100 80GBvsNVIDIA H200 141GB
NVIDIA H100 80GB vs NVIDIA H200 141GB: Specs, Benchmarks & Cloud Pricing
Full technical comparison of NVIDIA H100 80GB and NVIDIA H200 141GB — VRAM, memory bandwidth, FP16 TFLOPS, TDP, and live cloud pricing across all providers. Updated July 2026.
Technical Specifications
Spec
NVIDIA H100 80GB
NVIDIA H200 141GB
Architecture
Hopper
Hopper
VRAM
80 GB HBM3
141 GB HBM3e
Memory bandwidth
3,350 GB/s
4,800 GB/s
FP16 performance
989 TFLOPS
989 TFLOPS
TDP
700 W
700 W
NVLink support
Yes
Yes
Release year
2022
2024
Green = better value for that metric.
NVIDIA H100 80GB
The NVIDIA H100 is the gold standard for AI training and inference. With 80GB HBM3 memory and NVLink 4.0 support, it dominates large-model training and multi-GPU clusters.
Best For
- LLM training
- Large-scale inference
- HPC workloads
NVIDIA H200 141GB
The H200 upgrades the H100 with 141GB HBM3e memory and 4.8 TB/s bandwidth — a massive boost for memory-bound workloads like large LLM inference.
Best For
- Very large LLMs
- Memory-bound inference
- Multi-modal models