Technology

Blackwell vs Hopper

Reviewed by Michael Kerkhoff, as of

Category
Technology
Options
NVIDIA Blackwell (B200)NVIDIA Hopper (H100)

Detailed Comparison

A side-by-side analysis of key factors to help you make the right choice.

NVIDIA Blackwell (B200) vs NVIDIA Hopper (H100)
FactorNVIDIA Blackwell (B200)NVIDIA Hopper (H100)
Inference Performance30x higher inference throughput via FP4, 192GB HBM3e, and NVLink Switch. Holds 1T-parameter models entirely in VRAM. WinnerGood inference performance in FP8 and FP16. Production deployment standard 2023-2025. Proven and broadly available.
Training Performance2-4x better than H100 for modern architectures via second-gen Transformer Engine. WinnerMarket standard for LLM training 2022-2025. Well-suited for models up to 70B parameters on single node.
Energy EfficiencySignificantly more efficient: FP4 enables 4x more operations per watt. WinnerGood efficiency for its generation, but significantly less efficient than Blackwell.
Price and AvailabilityMore expensive (B200: >$30k), limited availability in 2025. Long-term cheaper through efficiency gains.Lower spot-market prices due to larger supply. H100: $25-28k, broad cloud availability. Winner
FP4 SupportNative FP4 at hardware level. Enables 2x more efficiency than FP8 without quality loss. WinnerNo native FP4. FP8 as lowest precision tier. INT4 possible but with latency overhead.
Memory Capacity192GB HBM3e per B200 chip. GB200 NVL72 = 1.4TB total. Enables 400B+ parameter models without model parallelism. Winner80GB HBM3 per H100. DGX H100 = 640GB total. Sufficient for models up to ~70B without parallelism.
Total Score · 0 ties5 / 61 / 6

Key Statistics

Real data from verified industry sources to support your decision.

  • NVIDIA B200 achieves 20 petaflops FP4 inference performance vs 4 petaflops FP8 on H100 - 5x improvement — NVIDIA GTC (2024)
  • GB200 NVL72 can hold a 1-trillion-parameter model entirely in VRAM - first time possible without model parallelism — NVIDIA GTC (2024)
  • H100 remains the dominant inference chip in cloud market with 60%+ market share at major cloud providers in 2025 — Cloudwatch (2025)
  • Forecast: Blackwell-based cloud instances will be 50% cheaper than equivalent H100 instances by end 2026 — Analyst forecasts (2025)

All statistics come from verified third-party sources. Source, year, and direct link are shown on each metric.

When to Choose Each Option

Clear guidance based on your specific situation and needs.

Choose NVIDIA Blackwell (B200) when...
    Choose NVIDIA Hopper (H100) when...

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