NVIDIA B300 vs NVIDIA RTX PRO 4000 Blackwell, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 450% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Wan 2.2 5B (720p), where NVIDIA B300 leads by 1031% (2.94 vs 0.26 frames/s); the closest fight is Qwen3 4B (86% apart); VRAM decides part of this one: NVIDIA B300 runs 140 of our 12 AI workloads while the other card runs 8, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 179.58 | +86% |
| Llama 3.1 8B tok/s | 287.23 | 112.36 | +156% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 60.62 | +161% |
| Qwen3 32B tok/s | 83.68 | 27.8 | +201% |
| Llama 3.3 70B tok/s | 47.97 | 0 | n/a |
| Stable Diffusion XL images/min | 29.2 | 8.56 | +241% |
| Z-Image Turbo images/min | 39.675 | 4.425 | +797% |
| FLUX.1 dev images/min | 20.807 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 10.329 | 0 | n/a |
| Qwen-Image-Edit images/min | 8.14 | 0 | n/a |
| LTX-Video (distilled) frames/s | 31.87 | 3.1 | +928% |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.26 | +1031% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 4 of 4; NVIDIA RTX PRO 4000 Blackwell on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX PRO 4000 Blackwell | Difference |
|---|---|---|---|
| 24-frame storyboard | 1.5 min | 6.4 min | NVIDIA B300 4.28x faster |
| 60-second AI short film | 2.2 min | 10.2 min | NVIDIA B300 4.71x faster |
| 10 short social clips | 4.7 min | 34.2 min | NVIDIA B300 7.22x faster |
| Full codebase review | 6.3 min | 16.5 min | NVIDIA B300 2.61x faster |
Specifications compared
| NVIDIA B300 | NVIDIA RTX PRO 4000 Blackwell | |
|---|---|---|
| VRAM | 288GB | 24GB |
| Architecture | Blackwell Ultra | Blackwell |
| Memory bandwidth | 8 TB/s | 672 GB/s |
| Boost clock | n/a | 2,617 MHz |
| TDP | 1400 W | 140 W |
| Launch MSRP | $40,000 | $1,500 |
| Release | 2025-11-01 | 2025-08-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 450% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX PRO 4000 Blackwell?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX PRO 4000 Blackwell has 24GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX PRO 4000 Blackwell?
- For AI, yes, NVIDIA B300 fits 2 more of our 12 workloads than NVIDIA RTX PRO 4000 Blackwell. 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 4000 Blackwell?
- Wan 2.2 5B (720p): NVIDIA B300 leads by roughly 268% (2.94 vs 0.26 frames/s) in our testing.
NVIDIA B300 full review · NVIDIA RTX PRO 4000 Blackwell full review · All AI & Machine Learning rankings