NVIDIA A100 80GB PCIe vs NVIDIA B300, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 233.1% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in FLUX.1 Kontext dev, where NVIDIA B300 leads by 460% (1.843 vs 10.329 images/min); the closest fight is Qwen3 4B (68% apart); VRAM decides part of this one: NVIDIA A100 80GB PCIe runs 140 of our 12 AI workloads while the other card runs 12, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A100 80GB PCIe | NVIDIA B300 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 198.27 | 333.34 | -41% |
| Llama 3.1 8B tok/s | 161.75 | 287.23 | -44% |
| Qwen2.5-Coder 14B tok/s | 88.36 | 158.49 | -44% |
| Qwen3 32B tok/s | 43.77 | 83.68 | -48% |
| Llama 3.3 70B tok/s | 22.89 | 47.97 | -52% |
| Stable Diffusion XL images/min | 16.8 | 29.2 | -42% |
| Z-Image Turbo images/min | 9.3 | 39.675 | -77% |
| FLUX.1 dev images/min | 3.964 | 20.807 | -81% |
| FLUX.1 Kontext dev images/min | 1.843 | 10.329 | -82% |
| Qwen-Image-Edit images/min | 1.54 | 8.14 | -81% |
| LTX-Video (distilled) frames/s | 8.51 | 31.87 | -73% |
| Wan 2.2 5B (720p) frames/s | 0.61 | 2.94 | -79% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A100 80GB PCIe is faster on 0 of 9; NVIDIA B300 on 9.
| Workflow | NVIDIA A100 80GB PCIe | NVIDIA B300 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 3.7 min | 1.5 min | NVIDIA B300 2.43x faster | $0.072 vs $0.174 |
| 60-second AI short film | 4.6 min | 2.2 min | NVIDIA B300 2.10x faster | $0.090 vs $0.251 |
| 6-panel comic page | 5.9 min | 2 min | NVIDIA B300 2.93x faster | $0.118 vs $0.234 |
| Character sheet, 12 poses | 7.7 min | 2.2 min | NVIDIA B300 3.44x faster | $0.152 vs $0.257 |
| Full codebase review | 11.3 min | 6.3 min | NVIDIA B300 1.79x faster | $0.224 vs $0.730 |
| 10 short social clips | 15.7 min | 4.7 min | NVIDIA B300 3.31x faster | $0.311 vs $0.548 |
| 20 long-form articles | 20.4 min | 9.7 min | NVIDIA B300 2.10x faster | $0.404 vs $1.125 |
| 40-product photo shoot | 24.8 min | 6.1 min | NVIDIA B300 4.09x faster | $0.491 vs $0.701 |
| 100-photo restoration batch | 54.7 min | 10.2 min | NVIDIA B300 5.37x faster | $1.085 vs $1.178 |
Renting by the hour, NVIDIA A100 80GB PCIe finishes 9 of 9 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| NVIDIA A100 80GB PCIe | $1.190 |
| NVIDIA B300 | $6.940 |
NVIDIA A100 80GB PCIe is 5.83x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA A100 80GB PCIe | NVIDIA B300 | |
|---|---|---|
| VRAM | 80GB | 288GB |
| Architecture | Ampere | Blackwell Ultra |
| Memory bandwidth | 1935 GB/s | 8 TB/s |
| Boost clock | 1,410 MHz | n/a |
| TDP | 300 W | 1400 W |
| Launch MSRP | $15,000 | $40,000 |
| Release | 2021-06-28 | 2025-11-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA A100 80GB PCIe or NVIDIA B300?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 233.1% advantage.
- What are the main hardware differences between NVIDIA A100 80GB PCIe and NVIDIA B300?
- NVIDIA A100 80GB PCIe has 80GB VRAM and a 300W TDP, while NVIDIA B300 has 288GB VRAM and a 1400W TDP.
- Does VRAM matter more than speed between NVIDIA A100 80GB PCIe and NVIDIA B300?
- For AI, yes, NVIDIA A100 80GB PCIe 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 A100 80GB PCIe and NVIDIA B300?
- FLUX.1 Kontext dev: NVIDIA B300 leads by roughly 460% (1.843 vs 10.329 images/min) in our testing.
NVIDIA A100 80GB PCIe full review · NVIDIA B300 full review · All AI & Machine Learning rankings