Performance Intelligence

Benchmark & Market Analysis

Engineering-depth hardware metrics alongside investor-grade training time and efficiency projections across 12 accelerators.

NVIDIA
~80%
Market Leader

CUDA ecosystem dominance, largest software library, fastest time-to-deploy for AI teams.

AMD
~12%
Challenger

Memory capacity leadership (288 GB), aggressive pricing, growing ROCm ecosystem with PyTorch support.

Google TPU
~8%
Cloud-Native

Custom ICI interconnect enables unmatched multi-chip scaling. Tightest JAX/TensorFlow integration.

Eng:
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Investor:
LeaderB300 — 3,500 FP16 TFLOPS
Best AMDMI355X — 2,400 FP16 TFLOPS
Gen-on-GenB300 vs H100 = 1.77×

FP16 Compute

Raw FP16 peak throughput — the primary measure of AI training speed

💡Key Insight

B300 Blackwell Ultra delivers 3,500 FP16 TFLOPS — about 1.55× the B200 and 1.77× the H100. For large-scale LLM pre-training, raw TFLOPS directly correlates with time-to-model.

🎯Takeaway

NVIDIA holds a commanding lead in raw compute. B300 is the clear choice for time-sensitive pre-training workloads.

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