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Hopper H100 SXM5 vs Instinct MI300X

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

NVIDIA

Hopper H100 SXM5

73

Spec Wins

AMD

Instinct MI300X

65

Detailed Specifications

SpecHopper H100 SXM5Instinct MI300X
ArchitectureHopper CDNA 3
Memory80GB HBM3 192GB HBM3
Memory Bandwidth3,350 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 Score73 65
EcosystemCUDA ROCM
Est. Price$25,000 $15,000

Hopper H100 SXM5 — Best For

LLM TrainingHPC

Instinct MI300X — Best For

Large ModelsCost-Effective Training

Who Should Choose Each GPU?

Choose Hopper H100 SXM5 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 Training workloads
  • Running HPC workloads

Choose Instinct MI300X if you…

  • Need more VRAM (192GB vs 80GB) 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 H100 SXM5 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 H100 SXM5'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 H100 SXM5, 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 H100 SXM5 vs Instinct MI300X: Common Questions

Which is faster, Hopper H100 SXM5 or Instinct MI300X?+

In FP8 throughput, the Hopper H100 SXM5 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 H100 SXM5 or Instinct MI300X better for LLM training?+

For LLM training at scale, the Hopper H100 SXM5 has higher raw throughput. However, the choice also depends on your software stack: Hopper H100 SXM5 offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Hopper H100 SXM5 and Instinct MI300X?+

The Hopper H100 SXM5 is estimated at $25,000 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 H100 SXM5 or Instinct MI300X?+

The Hopper H100 SXM5 has a lower TDP (700W vs 750W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Hopper H100 SXM5 = 5.7 TFLOPS/W vs Instinct MI300X = 3.5 TFLOPS/W.

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