AMD Instinct MI300XvsNVIDIA H100 80GB
AMD Instinct MI300X vs NVIDIA H100 80GB: Specs, Benchmarks & Cloud Pricing
Full technical comparison of AMD Instinct MI300X and NVIDIA H100 80GB — VRAM, memory bandwidth, FP16 TFLOPS, TDP, and live cloud pricing across all providers. Updated July 2026.
Technical Specifications
Spec
AMD Instinct MI300X
NVIDIA H100 80GB
Architecture
CDNA 3
Hopper
VRAM
192 GB HBM3
80 GB HBM3
Memory bandwidth
5,300 GB/s
3,350 GB/s
FP16 performance
1,307 TFLOPS
989 TFLOPS
TDP
750 W
700 W
NVLink support
No
Yes
Release year
2023
2022
Green = better value for that metric.
AMD Instinct MI300X
The AMD MI300X leads all GPUs on memory capacity (192GB HBM3) and bandwidth (5.3 TB/s), making it exceptional for serving very large language models that don't fit on H100.
Best For
- Memory-bound LLM inference
- Large model serving
- HPC
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