NVIDIA B300 vs NVIDIA RTX A5000, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 491.1% 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 1125% (2.94 vs 0.24 frames/s); the closest fight is Qwen3 4B (94% 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 A5000 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 171.68 | +94% |
| Llama 3.1 8B tok/s | 287.23 | 119.86 | +140% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 64.89 | +144% |
| Qwen3 32B tok/s | 83.68 | 30.49 | +174% |
| Llama 3.3 70B tok/s | 47.97 | 0 | n/a |
| Stable Diffusion XL images/min | 29.2 | 7.46 | +291% |
| Z-Image Turbo images/min | 39.675 | 4.05 | +880% |
| 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 | 2.7 | +1080% |
| Wan 2.2 5B (720p) frames/s | 2.94 | 0.24 | +1125% |
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 A5000 on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX A5000 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 1.5 min | 7 min | NVIDIA B300 4.66x faster | $0.174 vs $0.019 |
| 60-second AI short film | 2.2 min | 11.8 min | NVIDIA B300 5.41x faster | $0.251 vs $0.031 |
| 10 short social clips | 4.7 min | 37.2 min | NVIDIA B300 7.86x faster | $0.548 vs $0.099 |
| Full codebase review | 6.3 min | 15.4 min | NVIDIA B300 2.44x faster | $0.730 vs $0.041 |
Renting by the hour, NVIDIA RTX A5000 finishes 4 of 4 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 A5000 | $0.160 |
NVIDIA RTX A5000 is 43.38x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA RTX A5000 | |
|---|---|---|
| VRAM | 288GB | 24GB |
| Architecture | Blackwell Ultra | Ampere (GA102 derivative) |
| Memory bandwidth | 8 TB/s | 768 GB/s |
| Boost clock | n/a | 1,695 MHz |
| TDP | 1400 W | 230 W |
| Launch MSRP | $40,000 | $2,250 |
| Release | 2025-11-01 | 2021-04-12 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX A5000?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 491.1% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX A5000?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX A5000 has 24GB VRAM and a 230W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX A5000?
- For AI, yes, NVIDIA B300 fits 2 more of our 12 workloads than NVIDIA RTX A5000. 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 A5000?
- Wan 2.2 5B (720p): NVIDIA B300 leads by roughly 270% (2.94 vs 0.24 frames/s) in our testing.
NVIDIA B300 full review · NVIDIA RTX A5000 full review · All AI & Machine Learning rankings