NVIDIA A100 SXMvsNVIDIA GB200
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A100 SXM
Ampere Architecture
NVIDIA GB200
Blackwell Architecture
Detailed Specifications
| Specification | NVIDIA A100 SXM | NVIDIA GB200 |
|---|---|---|
| Architecture | Ampere | Blackwell |
| Release Year | 2020 | 2024 |
| VRAM | 80 GB | 192 GB+58.3% |
| Memory Type | HBM2e | HBM3e |
| Memory Bandwidth | 2039 GB/s | 8000 GB/s+74.5% |
| FP32 Performance | 19.5 TFLOPS | 90 TFLOPS+78.3% |
| FP16 Performance | 78 TFLOPS | 180 TFLOPS+56.7% |
| INT8 Performance | 624 TOPS | 3600 TOPS+82.7% |
| Tensor Cores | 6912 | 18432 |
| CUDA Cores | 6912 | N/A |
| TDP | 400W | 1000W |
| Form Factor | SXM | Superchip |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $1.05 | $3.75+72% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB200 is 78.3% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB200 is 56.7% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 82.7% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB200 is 74.5% faster
NVIDIA GB200
NVIDIA GB200
NVIDIA A100 SXM
NVIDIA GB200
Ideal Workloads
NVIDIA A100 SXM
NVIDIA GB200
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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