Benchmark & Market Analysis
Engineering-depth hardware metrics alongside investor-grade training time and efficiency projections across 12 accelerators.
CUDA ecosystem dominance, largest software library, fastest time-to-deploy for AI teams.
Memory capacity leadership (288 GB), aggressive pricing, growing ROCm ecosystem with PyTorch support.
Custom ICI interconnect enables unmatched multi-chip scaling. Tightest JAX/TensorFlow integration.
FP16 Compute
Raw FP16 peak throughput — the primary measure of AI training speed
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.
NVIDIA holds a commanding lead in raw compute. B300 is the clear choice for time-sensitive pre-training workloads.