NVIDIA B300 vs NVIDIA RTX A4000, AI & Machine Learning Comparison
NVIDIA B300 wins 10 of 10 benchmarks, averaging 302.4% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Stable Diffusion XL, where NVIDIA B300 leads by 457% (29.2 vs 5.24 images/min); the closest fight is Qwen3 4B (187% apart); VRAM decides part of this one: NVIDIA B300 runs 140 of our 12 AI workloads while the other card runs 4, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX A4000 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 116.23 | +187% |
| Llama 3.1 8B tok/s | 287.23 | 75.52 | +280% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 41.13 | +285% |
| 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 | 5.24 | +457% |
| 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 |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0 | n/a |
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 A4000 on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX A4000 | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 6.3 min | 24.3 min | NVIDIA B300 3.85x faster | $0.730 vs $0.069 |
Renting by the hour, NVIDIA RTX A4000 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 A4000 | $0.170 |
NVIDIA RTX A4000 is 40.82x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA RTX A4000 | |
|---|---|---|
| VRAM | 288GB | 16GB |
| Architecture | Blackwell Ultra | Ampere |
| Memory bandwidth | 8 TB/s | 448 GB/s |
| Boost clock | n/a | 1,560 MHz |
| TDP | 1400 W | 140 W |
| Launch MSRP | $40,000 | $999 |
| Release | 2025-11-01 | 2021-04-12 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX A4000?
- NVIDIA B300 performs better for ai & machine learning, winning 10 of 10 benchmarks in our suite with an average 302.4% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX A4000?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX A4000 has 16GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX A4000?
- For AI, yes, NVIDIA B300 fits 4 more of our 12 workloads than NVIDIA RTX A4000. 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 A4000?
- Stable Diffusion XL: NVIDIA B300 leads by roughly 457% (29.2 vs 5.24 images/min) in our testing.
NVIDIA B300 full review · NVIDIA RTX A4000 full review · All AI & Machine Learning rankings