NVIDIA GeForce RTX 3090 vs NVIDIA B300, AI & Machine Learning Comparison
NVIDIA B300 wins 12 of 12 benchmarks, averaging 526.9% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in LTX-Video (distilled), where NVIDIA B300 leads by 1369% (2.17 vs 31.87 frames/s); the closest fight is Qwen3 4B (61% 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 GeForce RTX 3090 | NVIDIA B300 | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 206.67 | 333.34 | -38% |
| Llama 3.1 8B tok/s | 144.9 | 287.23 | -50% |
| Qwen2.5-Coder 14B tok/s | 78.79 | 158.49 | -50% |
| Qwen3 32B tok/s | 37.95 | 83.68 | -55% |
| Llama 3.3 70B tok/s | 0 | 47.97 | n/a |
| Stable Diffusion XL images/min | 7.46 | 29.2 | -74% |
| Z-Image Turbo images/min | 3.825 | 39.675 | -90% |
| FLUX.1 dev images/min | 0 | 20.807 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 10.329 | n/a |
| Qwen-Image-Edit images/min | 0 | 8.14 | n/a |
| LTX-Video (distilled) frames/s | 2.17 | 31.87 | -93% |
| Wan 2.2 5B (720p) frames/s | 0.22 | 2.94 | -93% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA GeForce RTX 3090 is faster on 0 of 4; NVIDIA B300 on 4.
| Workflow | NVIDIA GeForce RTX 3090 | NVIDIA B300 | Difference | Cost per run |
|---|---|---|---|---|
| 24-frame storyboard | 8.3 min | 1.5 min | NVIDIA B300 5.52x faster | $0.010 vs $0.174 |
| Full codebase review | 12.7 min | 6.3 min | NVIDIA B300 2.01x faster | $0.015 vs $0.730 |
| 60-second AI short film | 15.2 min | 2.2 min | NVIDIA B300 6.98x faster | $0.017 vs $0.251 |
| 10 short social clips | 42.4 min | 4.7 min | NVIDIA B300 8.95x faster | $0.049 vs $0.548 |
Renting by the hour, NVIDIA GeForce RTX 3090 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 GeForce RTX 3090 | $0.069 |
| NVIDIA B300 | $6.940 |
NVIDIA GeForce RTX 3090 is 100.58x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA GeForce RTX 3090 | NVIDIA B300 | |
|---|---|---|
| VRAM | 24GB | 288GB |
| Architecture | Ampere (GA102) | Blackwell Ultra |
| Memory bandwidth | 936.2 GB/s | 8 TB/s |
| Boost clock | 1,695 MHz | n/a |
| TDP | 350 W | 1400 W |
| Launch MSRP | $1,499 | $40,000 |
| Release | 2020-09-24 | 2025-11-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA GeForce RTX 3090 or NVIDIA B300?
- NVIDIA B300 performs better for ai & machine learning, winning 12 of 12 benchmarks in our suite with an average 526.9% advantage.
- What are the main hardware differences between NVIDIA GeForce RTX 3090 and NVIDIA B300?
- NVIDIA GeForce RTX 3090 has 24GB VRAM and a 350W TDP, while NVIDIA B300 has 288GB VRAM and a 1400W TDP.
- Does VRAM matter more than speed between NVIDIA GeForce RTX 3090 and NVIDIA B300?
- For AI, yes, NVIDIA B300 fits 2 more of our 12 workloads than NVIDIA GeForce RTX 3090. 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 GeForce RTX 3090 and NVIDIA B300?
- LTX-Video (distilled): NVIDIA B300 leads by roughly 1369% (2.17 vs 31.87 frames/s) in our testing.
NVIDIA GeForce RTX 3090 full review · NVIDIA B300 full review · All AI & Machine Learning rankings