NVIDIA A16 vs NVIDIA B200
How the NVIDIA A16 and NVIDIA B200 compare across memory, compute, power and form factor, with the stronger figure highlighted on each row.
| Specification |
AMPERE
NVIDIA A16
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|
BLACKWELL
NVIDIA B200
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|
|---|---|---|
| Pricing | ||
| Price | – | – |
| Overview | ||
| Architecture | Ampere | Blackwell |
| Memory | ||
| Memory | 64 GB GDDR6 ECC (4× 16 GB) | 192 GB HBM3e |
| Memory Bandwidth | 4× 232 GB/s | 8 TB/s |
| Compute | ||
| CUDA Cores | 5,120 (4× 1,280) | – |
| Tensor Cores | 160 (4× 40) | – |
| RT Cores | 40 (4× 10) | – |
| FP32 | – | ~75 TFLOPS |
| FP8 Tensor | – | ~9 PFLOPS TFLOPS |
| FP4 Tensor | – | ~18 PFLOPS TFLOPS |
| Platform | ||
| Interface | PCIe Gen4 x16 | Gen5 |
| NVLink | – | 1.8 TB/s (5th Gen) |
| TDP | 250W | Up to 1,000W |
| Form Factor | Dual-slot, full-height, passive | SXM |
| GPUs per Board | 4 | – |
| Transistors | – | 208 billion |
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