NVIDIA B300 vs NVIDIA RTX A6000, AI & Machine Learning Comparison
NVIDIA B300 wins 9 of 9 benchmarks, averaging 364.3% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in FLUX.1 Kontext dev, where NVIDIA B300 leads by 884% (10.329 vs 1.05 images/min); the closest fight is Qwen3 4B (81% apart); VRAM decides part of this one: NVIDIA RTX A6000 runs 140 of our 12 AI workloads while the other card runs 9, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX A6000 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 184.34 | +81% |
| Llama 3.1 8B tok/s | 287.23 | 124.87 | +130% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 68.51 | +131% |
| Qwen3 32B tok/s | 83.68 | 32.18 | +160% |
| Llama 3.3 70B tok/s | 47.97 | 15.73 | +205% |
| Stable Diffusion XL images/min | 29.2 | 10.02 | +191% |
| Z-Image Turbo images/min | 39.675 | 5.4 | +635% |
| FLUX.1 dev images/min | 20.807 | 2.164 | +862% |
| FLUX.1 Kontext dev images/min | 10.329 | 1.05 | +884% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA B300 is faster on 7 of 7; NVIDIA RTX A6000 on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX A6000 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 1.5 min | 7.1 min | NVIDIA B300 4.70x faster | $0.174 vs $0.039 |
| 6-panel comic page | 2 min | 12.1 min | NVIDIA B300 6.00x faster | $0.234 vs $0.067 |
| Character sheet, 12 poses | 2.2 min | 15.2 min | NVIDIA B300 6.83x faster | $0.257 vs $0.084 |
| 40-product photo shoot | 6.1 min | 45.5 min | NVIDIA B300 7.51x faster | $0.701 vs $0.250 |
| Full codebase review | 6.3 min | 14.6 min | NVIDIA B300 2.31x faster | $0.730 vs $0.080 |
| 20 long-form articles | 9.7 min | 29.7 min | NVIDIA B300 3.05x faster | $1.125 vs $0.163 |
| 100-photo restoration batch | 10.2 min | 1 h 37 min | NVIDIA B300 9.52x faster | $1.178 vs $0.533 |
Renting by the hour, NVIDIA RTX A6000 finishes 7 of 7 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 A6000 | $0.330 |
NVIDIA RTX A6000 is 21.03x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA RTX A6000 | |
|---|---|---|
| VRAM | 288GB | 48GB |
| Architecture | Blackwell Ultra | Ampere |
| Memory bandwidth | 8 TB/s | 768 GB/s |
| Boost clock | n/a | 1,860 MHz |
| TDP | 1400 W | 300 W |
| Launch MSRP | $40,000 | $4,650 |
| Release | 2025-11-01 | 2020-10-05 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX A6000?
- NVIDIA B300 performs better for ai & machine learning, winning 9 of 9 benchmarks in our suite with an average 364.3% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX A6000?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX A6000 has 48GB VRAM and a 300W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX A6000?
- For AI, yes, NVIDIA RTX A6000 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 A6000?
- FLUX.1 Kontext dev: NVIDIA B300 leads by roughly 884% (10.329 vs 1.05 images/min) in our testing.
NVIDIA B300 full review · NVIDIA RTX A6000 full review · All AI & Machine Learning rankings