B200 vs L4
Detailed comparison of specifications, performance, and pricing between NVIDIA B200 and NVIDIA L4
Difference Analysis
Full Specifications
| Specification | B200 | L4 | AMD Radeon RX 7900 XTX |
|---|---|---|---|
| Brand | NVIDIA | NVIDIA | AMD |
| Series | Data Center | Data Center | Consumer |
| Architecture | Blackwell | Ada Lovelace | RDNA 3 |
| VRAM | 192GB | 24GB | 24GB |
| VRAM Type | HBM3e | GDDR6 | GDDR6 |
| Memory Bandwidth | 8.0 TB/s | 300 GB/s | 960 GB/s |
| FP16 TFLOPS | - | 60.6 | 122.0 |
| Tensor TFLOPS | 4.5k | 242.0 | - |
| TDP | 1000W | 72W | 355W |
| Form Factor | SXM | PCIe | - |
| Hardware Price | $$45k | $$2.8k | - |
| Cloud Price (min) | $3.75/hr | $0.390/hr | - |
Related Comparisons
B200 vs L4 FAQ
It depends on your use case. The B200 offers 1760% better performance (4.5k vs 242.0 TFLOPS). However, the L4 is 1507% cheaper. For raw performance, choose B200. For value, consider your budget and workload requirements.
The B200 has more VRAM with 192GB compared to 24GB (700% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the B200 is generally better due to its larger VRAM (192GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 24GB, the cheaper option may be more cost-effective.
The L4 is 1507% cheaper at $$2.8k vs $$45k. When considering performance per dollar, evaluate your specific workload requirements to determine the best value.
Upgrading to B200 would give you 1760% more performance and 700% more VRAM. The upgrade cost difference is approximately $$42k. Consider if your workloads are bottlenecked by current GPU capabilities.