NVIDIA B200vsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA B200
Blackwell Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA B200 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Blackwell | Hopper |
| Release Year | 2024 | 2022 |
| VRAM | 192 GB+140.0% | 80 GB |
| Memory Type | HBM3e | HBM3 |
| Memory Bandwidth | 8000 GB/s+138.8% | 3350 GB/s |
| FP32 Performance | 90 TFLOPS+50.0% | 60 TFLOPS |
| FP16 Performance | 180 TFLOPS+50.0% | 120 TFLOPS |
| INT8 Performance | 3600 TOPS+50.0% | 2400 TOPS |
| Tensor Cores | 18432 | 16896 |
| CUDA Cores | N/A | 16896 |
| TDP | 1000W | 700W |
| Form Factor | SXM | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $3.4+126.7% | $1.5 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 50% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA B200 is 50% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA B200 is 50% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA B200 is 138.8% faster
NVIDIA B200
NVIDIA B200
NVIDIA H100 SXM
NVIDIA B200
Ideal Workloads
NVIDIA B200
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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