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Blackwell B200 vs Hopper H100 SXM5

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

NVIDIA

Blackwell B200

89

Spec Wins

NVIDIA

Hopper H100 SXM5

73

Detailed Specifications

SpecBlackwell B200Hopper H100 SXM5
ArchitectureBlackwell Hopper
Memory192GB HBM3e 80GB HBM3
Memory Bandwidth8,000 GB/s 3,350 GB/s
FP16 TFLOPS2,250 1,979
FP8 TFLOPS4,500 3,958
BF16 TFLOPS2,250 1,979
INT8 TOPS9,000 3,958
TDP1000W 700W
InterconnectNVLink 5.0 (1800 GB/s) (1800 GB/s) NVLink 4.0 (900 GB/s) (900 GB/s)
Perf Score89 73
EcosystemCUDA CUDA
Est. Price$35,000 $25,000

Blackwell B200 — Best For

Frontier TrainingAGI Research

Hopper H100 SXM5 — Best For

LLM TrainingHPC

Who Should Choose Each GPU?

Choose Blackwell B200 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Need more VRAM (192GB vs 80GB) for large model inference
  • Prioritize raw FP8 throughput (4,500 vs 3,958 TFLOPS)
  • Running Frontier Training workloads
  • Running AGI Research workloads

Choose Hopper H100 SXM5 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Have power-constrained data centers (700W vs 1000W TDP)
  • Working with a tighter CapEx budget (lower list price)
  • Running LLM Training workloads
  • Running HPC workloads

Verdict

The Blackwell B200 and Hopper H100 SXM5 target different priorities. The Blackwell B200's 192GB of HBM3e gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Blackwell B200's 4,500 FP8 TFLOPS outpaces the Hopper H100 SXM5's 3,958 TFLOPS. Both GPUs use CUDA, so ecosystem switching cost is not a factor. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

Blackwell B200 vs Hopper H100 SXM5: Common Questions

Which is faster, Blackwell B200 or Hopper H100 SXM5?+

In FP8 throughput, the Blackwell B200 leads with 4,500 TFLOPS vs 3,958 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Blackwell B200 has more VRAM (192GB).

Is Blackwell B200 or Hopper H100 SXM5 better for LLM training?+

For LLM training at scale, the Blackwell B200 has higher raw throughput. However, the choice also depends on your software stack: Blackwell B200 offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Blackwell B200 and Hopper H100 SXM5?+

The Blackwell B200 is estimated at $35,000 per unit and the Hopper H100 SXM5 at $25,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Blackwell B200 or Hopper H100 SXM5?+

The Hopper H100 SXM5 has a lower TDP (700W vs 1000W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Blackwell B200 = 4.5 TFLOPS/W vs Hopper H100 SXM5 = 5.7 TFLOPS/W.

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