Skip to content

Hopper H200 SXM vs Instinct MI300X

Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.

NVIDIA

Hopper H200 SXM

74

Spec Wins

AMD

Instinct MI300X

65

Detailed Specifications

SpecHopper H200 SXMInstinct MI300X
ArchitectureHopper CDNA 3
Memory141GB HBM3e 192GB HBM3
Memory Bandwidth4,800 GB/s 5,300 GB/s
FP16 TFLOPS1,979 1,307
FP8 TFLOPS3,958 2,614
BF16 TFLOPS1,979 1,307
INT8 TOPS3,958 2,614
TDP700W 750W
InterconnectNVLink 4.0 (900 GB/s) (900 GB/s) Infinity Fabric (896 GB/s) (896 GB/s)
Perf Score74 65
EcosystemCUDA ROCM
Est. Price$30,000 $15,000

Hopper H200 SXM — Best For

LLM InferenceLarge Models

Instinct MI300X — Best For

Large ModelsCost-Effective Training

Who Should Choose Each GPU?

Choose Hopper H200 SXM if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Prioritize raw FP8 throughput (3,958 vs 2,614 TFLOPS)
  • Have power-constrained data centers (700W vs 750W TDP)
  • Running LLM Inference workloads
  • Running Large Models workloads

Choose Instinct MI300X if you…

  • Need more VRAM (192GB vs 141GB) for large model inference
  • Working with a tighter CapEx budget (lower list price)
  • Running Large Models workloads
  • Running Cost-Effective Training workloads

Verdict

The Hopper H200 SXM and Instinct MI300X target different priorities. The Instinct MI300X's 192GB of HBM3 gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Hopper H200 SXM's 3,958 FP8 TFLOPS outpaces the Instinct MI300X's 2,614 TFLOPS. Teams already invested in the NVIDIA/CUDA ecosystem will have less friction with the Hopper H200 SXM, while teams open to ROCM can benefit from the Instinct MI300X's advantages. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

Hopper H200 SXM vs Instinct MI300X: Common Questions

Which is faster, Hopper H200 SXM or Instinct MI300X?+

In FP8 throughput, the Hopper H200 SXM leads with 3,958 TFLOPS vs 2,614 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Instinct MI300X has more VRAM (192GB).

Is Hopper H200 SXM or Instinct MI300X better for LLM training?+

For LLM training at scale, the Hopper H200 SXM has higher raw throughput. However, the choice also depends on your software stack: Hopper H200 SXM offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Hopper H200 SXM and Instinct MI300X?+

The Hopper H200 SXM is estimated at $30,000 per unit and the Instinct MI300X at $15,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Hopper H200 SXM or Instinct MI300X?+

The Hopper H200 SXM has a lower TDP (700W vs 750W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Hopper H200 SXM = 5.7 TFLOPS/W vs Instinct MI300X = 3.5 TFLOPS/W.

Ask AI Advisor