NVIDIA B300 vs NVIDIA RTX PRO 6000 Blackwell Server Edition, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 108.7% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in FLUX.1 Kontext dev, where NVIDIA B300 leads by 242% (10.329 vs 3.021 images/min); the closest fight is Qwen3 4B (6% apart); VRAM decides part of this one: NVIDIA RTX PRO 6000 Blackwell Server Edition runs 140 of our 12 AI workloads while the other card runs 12, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Server Edition | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 315.72 | +6% |
| Llama 3.1 8B tok/s | 287.23 | 233.8 | +23% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 135.07 | +17% |
| Qwen3 32B tok/s | 83.68 | 63.9 | +31% |
| Llama 3.3 70B tok/s | 47.97 | 32.08 | +50% |
| Stable Diffusion XL images/min | 29.2 | 26.32 | +11% |
| Z-Image Turbo images/min | 39.675 | 14.775 | +169% |
| FLUX.1 dev images/min | 20.807 | 6.75 | +208% |
| FLUX.1 Kontext dev images/min | 10.329 | 3.021 | +242% |
| Qwen-Image-Edit images/min | 8.14 | 2.62 | +211% |
| LTX-Video (distilled) frames/s | 31.87 | 15.64 | +104% |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.88 | +234% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 9 of 9; NVIDIA RTX PRO 6000 Blackwell Server Edition on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Server Edition | Difference |
|---|---|---|---|
| 24-frame storyboard | 1.5 min | 2.3 min | NVIDIA B300 1.53x faster |
| 6-panel comic page | 2 min | 3.6 min | NVIDIA B300 1.76x faster |
| 60-second AI short film | 2.2 min | 2.7 min | NVIDIA B300 1.22x faster |
| Character sheet, 12 poses | 2.2 min | 4.6 min | NVIDIA B300 2.08x faster |
| 10 short social clips | 4.7 min | 10.8 min | NVIDIA B300 2.29x faster |
| 40-product photo shoot | 6.1 min | 15.2 min | NVIDIA B300 2.50x faster |
| Full codebase review | 6.3 min | 7.4 min | NVIDIA B300 1.17x faster |
| 20 long-form articles | 9.7 min | 14.5 min | NVIDIA B300 1.50x faster |
| 100-photo restoration batch | 10.2 min | 33.4 min | NVIDIA B300 3.28x faster |
Specifications compared
| NVIDIA B300 | NVIDIA RTX PRO 6000 Blackwell Server Edition | |
|---|---|---|
| VRAM | 288GB | 96GB |
| Architecture | Blackwell Ultra | Blackwell |
| Memory bandwidth | 8 TB/s | 1792 GB/s |
| Boost clock | n/a | 2,610 MHz |
| TDP | 1400 W | 600 W |
| Launch MSRP | $40,000 | $8,565 |
| Release | 2025-11-01 | 2025-03-18 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX PRO 6000 Blackwell Server Edition?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 108.7% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX PRO 6000 Blackwell Server Edition?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX PRO 6000 Blackwell Server Edition has 96GB VRAM and a 600W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX PRO 6000 Blackwell Server Edition?
- For AI, yes, NVIDIA RTX PRO 6000 Blackwell Server Edition fits 2 more of our 12 workloads than NVIDIA B300. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA B300 and NVIDIA RTX PRO 6000 Blackwell Server Edition?
- FLUX.1 Kontext dev: NVIDIA B300 leads by roughly 242% (10.329 vs 3.021 images/min) in our testing.
NVIDIA B300 full review · NVIDIA RTX PRO 6000 Blackwell Server Edition full review · All AI & Machine Learning rankings