B300 vs B200
Spec-sheet and pricing comparison of NVIDIA B300 and NVIDIA B200 with links to continuously measured LLM inference benchmarks on identical workloads.
Spec-sheet comparison
| B300 | B200 | B300 / B200 | |
|---|---|---|---|
| Memory per chip | 268 GB HBM3e | 180 GB HBM3e | 1.49x |
| Memory bandwidth | 8 TB/s | 8 TB/s | 1.0x |
| Dense FP8 compute | 4,500 TFLOP/s | 4,500 TFLOP/s | 1.0x |
| Dense FP4 compute | 13,500 TFLOP/s | 9,000 TFLOP/s | 1.5x |
| TDP | 1,200 W | 1,000 W | 1.2x |
| Hourly rate (neocloud tier) | $2.52/hr | $2.07/hr | 1.22x |
| Scale-up world size | 8 chips | 8 chips | 1.0x |
Ratios are spec-sheet values; see the live compare pages for measured deltas.
Frequently asked questions
- Which has more memory, B300 or B200?
- B300 offers 268 GB HBM3e per chip versus 180 GB HBM3e on B200 (1.49x the capacity).
- How do B300 and B200 prices compare?
- At the neocloud tier the SemiAnalysis TCO model rates B300 at $2.52/hr versus $2.07/hr for B200. Hourly price alone is misleading; the per-dollar compare pages divide measured throughput by these rates.
- Is B300 faster than B200 for LLM inference?
- On paper B300 has 1.0x the dense FP8 compute of B200, but delivered tokens per second depend on the model, framework, precision and interactivity target. InferenceX measures both chips daily on identical workloads; see the live compare pages for current results.
See live benchmark results
Every number above is static hardware data. Delivered tokens per second, cost per million tokens and energy per token are measured continuously on the dashboard:
Go deeper with the SemiAnalysis models
InferenceX measures delivered inference performance. The SemiAnalysis institutional models cover the market behind these chips: who ships them, who buys them, and what they cost to own.
SemiAnalysis Accelerator & HBM Model
SKU-level AI accelerator shipments, pricing and specifications, from foundry wafer starts and HBM supply through customer-level installed base, quarterly with multi-year forecasts.
SemiAnalysis AI Cloud TCO Model
The source of the hourly rates on this page: all-in GPU cost of ownership built up from server capex, power, colocation and cost of capital, with rental price scenarios and a full cluster finance suite.