NVIDIA B300 vs NVIDIA RTX 4000 (Ada Generation), AI & Machine Learning Comparison
NVIDIA B300 wins 11 of 11 benchmarks, averaging 699.3% 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 1533% (2.94 vs 0.18 frames/s); the closest fight is Qwen3 4B (203% apart); VRAM decides part of this one: NVIDIA B300 runs 140 of our 12 AI workloads while the other card runs 6, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX 4000 (Ada Generation) | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 110.18 | +203% |
| Llama 3.1 8B tok/s | 287.23 | 66.59 | +331% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 36.34 | +336% |
| Qwen3 32B tok/s | 83.68 | 0 | n/a |
| Llama 3.3 70B tok/s | 47.97 | 0 | n/a |
| Stable Diffusion XL images/min | 29.2 | 6.56 | +345% |
| 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 | 2.06 | +1447% |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.18 | +1533% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 1 of 1; NVIDIA RTX 4000 (Ada Generation) on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX 4000 (Ada Generation) | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 6.3 min | 27.5 min | NVIDIA B300 4.36x faster | $0.730 vs $0.092 |
Renting by the hour, NVIDIA RTX 4000 (Ada Generation) finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA B300 | $6.940 |
| NVIDIA RTX 4000 (Ada Generation) | $0.200 |
NVIDIA RTX 4000 (Ada Generation) is 34.70x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA RTX 4000 (Ada Generation) | |
|---|---|---|
| VRAM | 288GB | 20GB |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Memory bandwidth | 8 TB/s | 360 GB/s |
| Boost clock | n/a | 2,175 MHz |
| TDP | 1400 W | 130 W |
| Launch MSRP | $40,000 | $1,250 |
| Release | 2025-11-01 | 2023-08-09 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA B300 performs better for ai & machine learning, winning 11 of 11 benchmarks in our suite with an average 699.3% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX 4000 (Ada Generation)?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX 4000 (Ada Generation) has 20GB VRAM and a 130W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX 4000 (Ada Generation)?
- For AI, yes, NVIDIA B300 fits 3 more of our 12 workloads than NVIDIA RTX 4000 (Ada Generation). 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 4000 (Ada Generation)?
- Wan 2.2 5B (720p): NVIDIA B300 leads by roughly 276% (2.94 vs 0.18 frames/s) in our testing.
NVIDIA B300 full review · NVIDIA RTX 4000 (Ada Generation) full review · All AI & Machine Learning rankings