NVIDIA A2 vs AMD Instinct MI350X
How the NVIDIA A2 and AMD Instinct MI350X 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 A2 View Product → | CDNA 4 AMD Instinct MI350X NVIDIA alternative: NVIDIA B200 → |
|---|---|---|
| Pricing | ||
| Price | – | Not sold by NVNexus |
| Overview | ||
| Architecture | Ampere | AMD CDNA 4 |
| Memory | ||
| Memory | 16 GB GDDR6 with ECC | 288 GB HBM3E |
| Memory Bandwidth | 200 GB/s | 8 TB/s |
| Memory Interface | – | 8192-bit |
| Compute | ||
| CUDA Cores | 1,280 | – |
| Stream Processors (AMD) | – | 16,384 (256 CUs) |
| Tensor Cores | 40 | – |
| Matrix Cores / AI Accelerators (AMD) | – | 1,024 |
| RT Cores / Ray Accelerators | 10 | – |
| FP32 | 4.5 TFLOPS | 144.2 TFLOPS |
| FP64 Tensor | – | 72.1 TFLOPS |
| TF32 Tensor | 9 TFLOPS (18 TFLOPS with sparsity) | – |
| FP16/BF16 Tensor | – | 2.3 PFLOPS / 4.6 (sparse) TFLOPS |
| FP8 Tensor | – | 4.6 PFLOPS / 9.2 (sparse) TFLOPS |
| FP4 Tensor | – | 9.2 PFLOPS TFLOPS |
| Platform | ||
| Interface | PCIe Gen4 x8 | PCIe Gen5 x16 |
| NVLink / Infinity Fabric | – | Infinity Fabric, 1,075 GB/s aggregate |
| TDP | 40–60W (configurable) | 1000W |
| Form Factor | Low-profile, single-slot, passive | OAM module (8-GPU platform) |
| Cooling | – | Air cooled |
| Transistors | – | 185 billion |
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