NVIDIA A10 vs AMD Instinct MI300X
How the NVIDIA A10 and AMD Instinct MI300X compare across memory, compute, power and form factor, with the stronger figure highlighted on each row. Vendor-specific figures (CUDA vs stream processors, Tensor vs matrix cores) are listed on their own rows.
| Specification |  AMPERE NVIDIA A10 View Product → | CDNA 3 AMD Instinct MI300X NVIDIA alternative: NVIDIA H100 SXM → |
|---|---|---|
| Pricing | ||
| Price | – | Not sold by NVNexus |
| Overview | ||
| Architecture | Ampere | AMD CDNA 3 |
| Memory | ||
| Memory | 24 GB GDDR6 | 192 GB HBM3 |
| Memory Bandwidth | 600 GB/s | 5.3 TB/s |
| Memory Interface | – | 8192-bit |
| Compute | ||
| Stream Processors (AMD) | – | 19,456 (304 CUs) |
| Matrix Cores / AI Accelerators (AMD) | – | 1,216 |
| FP32 | 31.2 TFLOPS | 163.4 TFLOPS (matrix) |
| FP64 Tensor | – | 163.4 TFLOPS (matrix) |
| TF32 Tensor | 62.5 TFLOPS (125 TFLOPS with sparsity) | 653.7 TFLOPS / 1,307 (sparse) |
| FP16/BF16 Tensor | – | 1,307 TFLOPS / 2,615 (sparse) |
| FP8 Tensor | – | 2,615 TFLOPS / 5,230 (sparse) |
| INT8 Tensor | – | 2,615 TOPS / 5,230 (sparse) |
| Platform | ||
| Interface | PCIe Gen4 x16 | PCIe Gen5 x16 |
| NVLink / Infinity Fabric | – | Infinity Fabric, 896 GB/s aggregate |
| TDP | 150W | 750W |
| Form Factor | Single-wide, full-height, full-length PCIe, passive | OAM module (8-GPU platform) |
| Cooling | – | Passive (chassis airflow) |
| Transistors | – | 153 billion |
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