NVIDIA V100vsAMD MI300X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA V100
Volta Architecture
AMD MI300X
CDNA 3 Architecture
Detailed Specifications
| Specification | NVIDIA V100 | AMD MI300X |
|---|---|---|
| Architecture | Volta | CDNA 3 |
| Release Year | 2017 | 2023 |
| VRAM | 32 GB | 192 GB+83.3% |
| Memory Type | HBM2 | HBM3 |
| Memory Bandwidth | 900 GB/s | 5300 GB/s+83% |
| FP32 Performance | 15.7 TFLOPS | 163 TFLOPS+90.4% |
| FP16 Performance | 31.4 TFLOPS | 326 TFLOPS+90.4% |
| INT8 Performance | 125 TOPS | 2610 TOPS+95.2% |
| Tensor Cores | 5120 | N/A |
| CUDA Cores | 5120 | 19456 |
| TDP | 300W | 750W |
| Form Factor | PCIe | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $0.55 | $2.5+78% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
AMD MI300X is 90.4% faster
AI Training Performance
Half-precision performance optimized for deep learning training
AMD MI300X is 90.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
AMD MI300X is 95.2% faster
Memory Bandwidth
Data transfer speed between GPU and memory
AMD MI300X is 83% faster
AMD MI300X
AMD MI300X
NVIDIA V100
AMD MI300X
Ideal Workloads
NVIDIA V100
AMD MI300X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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