Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ada Lovelace Architecture
| Specification | NVIDIA GB200 | NVIDIA RTX 4080 |
|---|---|---|
| Architecture | Blackwell | Ada Lovelace |
| Release Year | 2024 | 2022 |
| VRAM | 192 GB+1100.0% | 16 GB |
| Memory Type | HBM3e | GDDR6X |
| Memory Bandwidth | 8000 GB/s+987.0% | 736 GB/s |
| FP32 Performance | 90 TFLOPS+84.8% | 48.7 TFLOPS |
| FP16 Performance | 180 TFLOPS+84.8% | 97.4 TFLOPS |
| INT8 Performance | 3600 TOPS+823.1% | 390 TOPS |
| Tensor Cores | 18432 | 9728 |
| CUDA Cores | N/A | 9728 |
| TDP | 1000W | 320W |
| Form Factor | Superchip | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $3.75+971.4% | $0.35 |
Single-precision floating-point performance for general compute workloads
NVIDIA GB200 is 84.8% faster
Half-precision performance optimized for deep learning training
NVIDIA GB200 is 84.8% faster
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 823.1% faster
Data transfer speed between GPU and memory
NVIDIA GB200 is 987% faster
NVIDIA GB200
NVIDIA GB200
NVIDIA RTX 4080
NVIDIA RTX 4080
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