NVIDIA B300 vs NVIDIA RTX 2000 Ada Generation, AI & Machine Learning Comparison
NVIDIA B300 wins 11 of 11 benchmarks, averaging 884.8% 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 2193% (31.87 vs 1.39 frames/s); the closest fight is Qwen3 4B (370% apart); VRAM decides part of this one: NVIDIA B300 runs 140 of our 12 AI workloads while the other card runs 5, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA B300 | NVIDIA RTX 2000 Ada Generation | Difference |
|---|---|---|---|
| Qwen3 4B tok/s | 333.34 | 70.88 | +370% |
| Llama 3.1 8B tok/s | 287.23 | 43.08 | +567% |
| Qwen2.5-Coder 14B tok/s | 158.49 | 23.35 | +579% |
| 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 | 3.58 | +716% |
| 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 | 1.39 | +2193% |
| 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 2000 Ada Generation on 0.
| Workflow | NVIDIA B300 | NVIDIA RTX 2000 Ada Generation | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 6.3 min | 42.8 min | NVIDIA B300 6.79x faster | $0.730 vs $0.171 |
Renting by the hour, NVIDIA RTX 2000 Ada Generation 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 2000 Ada Generation | $0.240 |
NVIDIA RTX 2000 Ada Generation is 28.92x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| NVIDIA B300 | NVIDIA RTX 2000 Ada Generation | |
|---|---|---|
| VRAM | 288GB | 16GB |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Memory bandwidth | 8 TB/s | 224 GB/s |
| Boost clock | n/a | 2,130 MHz |
| TDP | 1400 W | 70 W |
| Launch MSRP | $40,000 | $625 |
| Release | 2025-11-01 | 2024-02-12 |
FAQ
- Which is better for ai & machine learning: NVIDIA B300 or NVIDIA RTX 2000 Ada Generation?
- NVIDIA B300 performs better for ai & machine learning, winning 11 of 11 benchmarks in our suite with an average 884.8% advantage.
- What are the main hardware differences between NVIDIA B300 and NVIDIA RTX 2000 Ada Generation?
- NVIDIA B300 has 288GB VRAM and a 1400W TDP, while NVIDIA RTX 2000 Ada Generation has 16GB VRAM and a 70W TDP.
- Does VRAM matter more than speed between NVIDIA B300 and NVIDIA RTX 2000 Ada Generation?
- For AI, yes, NVIDIA B300 fits 4 more of our 12 workloads than NVIDIA RTX 2000 Ada Generation. 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 2000 Ada Generation?
- LTX-Video (distilled): NVIDIA B300 leads by roughly 2193% (31.87 vs 1.39 frames/s) in our testing.
NVIDIA B300 full review · NVIDIA RTX 2000 Ada Generation full review · All AI & Machine Learning rankings