About the NVIDIA B200 192GB
The NVIDIA B200 is the flagship of the Blackwell architecture, released in 2024 and rolling out to cloud providers through 2025-2026. It's the most powerful GPU available to mortals — 2.5× the AI training performance of H100, 192GB of HBM3e memory, and a chiplet design that pairs two compute dies for staggering throughput. The B200 is what frontier labs use for training next-generation models.
Specs
Memory
192 GB HBM3e
Bandwidth
8.0 TB/s
Tensor cores
640 (5th gen)
FP4 (peak)
20 PFLOPS
Architecture
Blackwell
Released
Q4 2024
What's it good for?
- Frontier model pretraining — 100B+ parameter models, GPT-5-class training.
- Massive context inference — 1M+ token context windows.
- Trillion-parameter MoE — sparse mixture-of-experts at scale.
- Research at the edge — pushing what's possible with current architectures.
When to use B200 vs alternatives
- B200 vs H100: 2.5× compute, 2.4× memory, 2.7× bandwidth. Roughly 3× the price. Worth it for training runs > 1 week or models that fundamentally need the memory.
- B200 vs H200: 36% more memory, 67% more bandwidth, 2.5× compute. The big win is compute — B200 trains faster.
- B200 vs 8× H100 cluster: 1× B200 ≈ 2-3× H100 raw throughput, but you lose NVLink scale-out benefits. Use 8× H100 for distributed training, single B200 for memory-bound inference.