Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ada Lovelace Architecture
| Specification | NVIDIA B200 | NVIDIA RTX 4090 |
|---|---|---|
| Architecture | Blackwell | Ada Lovelace |
| Release Year | 2024 | 2022 |
| VRAM | 192 GB+700.0% | 24 GB |
| Memory Type | HBM3e | GDDR6X |
| Memory Bandwidth | 8000 GB/s+693.7% | 1008 GB/s |
| FP32 Performance | 90 TFLOPS+9.0% | 82.6 TFLOPS |
| FP16 Performance | 180 TFLOPS+9.1% | 165 TFLOPS |
| INT8 Performance | 3600 TOPS+444.6% | 661 TOPS |
| Tensor Cores | 18432 | 16384 |
| CUDA Cores | N/A | 16384 |
| TDP | 1000W | 450W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $3.4+844.4% | $0.36 |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 9% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 9.1% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 444.6% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 693.7% faster
NVIDIA B200
NVIDIA B200
NVIDIA RTX 4090
NVIDIA RTX 4090
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