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The NVIDIA A100-40G, a data center-grade AI inference and training GPU, offers optimized performance for mid-range computational needs.
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The NVIDIA A100-40G, a data center-grade AI inference and training GPU, offers optimized performance for mid-range computational needs. This powerful processor ensures efficient performance, making it ideal for engineers and data scientists tackling complex machine learning tasks and other demanding workflows.
| Features | Nvidia A100-40G | Nvidia A100-80G | Nvidia V100 | AMD Instinct MI100 | Google TPU v4 | Intel Habana Gaudi | Nvidia T4 |
|---|---|---|---|---|---|---|---|
| Memory Size | 40 GB | 80 GB | 32 GB | 32 GB | 16 GB | 32 GB | 16 GB |
| Memory Bandwidth | 1,555 GB/s | 2,039 GB/s | 900 GB/s | 1,232 GB/s | 700 GB/s | 1,023 GB/s | 300 GB/s |
| Processing Power | 19.5 TFLOPS | 15.7 TFLOPS | 14 TFLOPS | 11.5 TFLOPS | N/A | N/A | 8.1 TFLOPS |
| Inference Efficiency | High | High | Medium | Low | Medium | Medium | Medium |
| Training Performance | Optimal | Optimal | Strong | Mid-tier | High | High | Low |
| Use Case | Data Centers | Heavy Workloads | Research | Enterprise | Cloud Services | AI Development | Small Data Centers |
| Accessory Model | Description |
|---|---|
| HGX A100 4-GPU Baseboard | Multi-GPU expansion for larger workloads |
| Mellanox ConnectX-6 VPI | High-speed networking adapter |
| NVIDIA NVSwitch | Interconnect for seamless multi-GPU communication |
Nvidia A100-40G Specifications | |
| Model | A100-40G |
| Memory | 40 GB HBM2 |
| Memory Bandwidth | 1.6 TB/s |
| CUDA Cores | 6,912 |
| Tensor Cores | 432 |
| TDP | 400W |
| Architecture | Ampere GA100 |
| NVLink Bandwidth | 600 GB/s |
| Multi-Instance GPU (MIG) | Yes, Up to 7 instances |
| Process Technology | 7nm |
| Base Clock Speed | 765 MHz |
| Boost Clock Speed | 1410 MHz |
| PCI Express Generation | PCIe 4.0 |
| DirectX | 12.0 |
| OpenGL | 4.6 |
| Form Factor | Dual-slot, full-height |
| Interface | PCIe 4.0 x16 |
| Number of GPUs | 1 |
| Max GPU Temperature | 85°C |
| Display Support | N/A (Data Center GPU) |
| Cooling Solution | Passive |