NVIDIA B300 vs NVIDIA RTX PRO 5000 Blackwell, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 286.4% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Qwen-Image-Edit, where NVIDIA B300 leads by 918% (8.14 vs 0.8 images/min); the closest fight is Qwen3 4B (12% apart); VRAM decides part of this one: NVIDIA RTX PRO 5000 Blackwell 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 5000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 298.78 | +12% |
| Llama 3.1 8B tok/s | 287.23 | 208.3 | +38% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 114.63 | +38% |
| Qwen3 32B tok/s | 83.68 | 54.27 | +54% |
| Llama 3.3 70B tok/s | 47.97 | 26.29 | +82% |
| Stable Diffusion XL images/min | 29.2 | 17.46 | +67% |
| Z-Image Turbo images/min | 39.675 | 9.075 | +337% |
| FLUX.1 dev images/min | 20.807 | 4.2 | +395% |
| FLUX.1 Kontext dev images/min | 10.329 | 1.8 | +474% |
| Qwen-Image-Edit images/min | 8.14 | 0.8 | +918% |
| LTX-Video (distilled) frames/s | 31.87 | 4.58 | +596% |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.56 | +425% |
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 5000 Blackwell on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX PRO 5000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 1.5 min | 3.4 min | NVIDIA B300 2.25x faster |
| 6-panel comic page | 2 min | 5.6 min | NVIDIA B300 2.78x faster |
| 60-second AI short film | 2.2 min | 6.7 min | NVIDIA B300 3.10x faster |
| Character sheet, 12 poses | 2.2 min | 7.6 min | NVIDIA B300 3.40x faster |
| 10 short social clips | 4.7 min | 16.5 min | NVIDIA B300 3.49x faster |
| 40-product photo shoot | 6.1 min | 25.1 min | NVIDIA B300 4.14x faster |
| Full codebase review | 6.3 min | 8.7 min | NVIDIA B300 1.38x faster |
| 20 long-form articles | 9.7 min | 17.8 min | NVIDIA B300 1.82x faster |
| 100-photo restoration batch | 10.2 min | 55.9 min | NVIDIA B300 5.49x faster |
Specifications compared
| NVIDIA B300 | NVIDIA RTX PRO 5000 Blackwell | |
|---|---|---|
| VRAM | 288GB | 48GB |
| Architecture | Blackwell Ultra | Blackwell |
| Memory bandwidth | 8 TB/s | 1344 GB/s |
| Boost clock | n/a | 2,377 MHz |
| TDP | 1400 W | 300 W |
| Launch MSRP | $40,000 | $4,500 |
| Release | 2025-11-01 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 286.4% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX PRO 5000 Blackwell?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX PRO 5000 Blackwell has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX PRO 5000 Blackwell?
- For AI, yes, NVIDIA RTX PRO 5000 Blackwell 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 5000 Blackwell?
- Qwen-Image-Edit: NVIDIA B300 leads by roughly 734% (8.14 vs 0.8 images/min) in our testing.
NVIDIA B300 full review · NVIDIA RTX PRO 5000 Blackwell full review · All AI & Machine Learning rankings