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A40 (NVIDIA)
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| Tdp W | 300 |
|---|---|
| Memory Type | GDDR6 |
| Architecture | Ampere |
| Gpu Memory Gb | 48 |
| Fp16 Bf16 Tflops Dense | 149.7 |
| Memory Bandwidth Tb S | 0.7 |
| Interconnect | NVIDIA NVLink 112.5 GB/s (bidirectional)3 PCIe Gen4: 64GB/s |
| Fp16 Bf16 Tflops Sparse | 299.4 |
| Fp32 Tflops | 37.4 |
| Int8 Tops Dense | 299.3 |
| Cooling | passive |
| Accelerator Form Factor | PCIe |
| Int8 Tops Sparse | |
| Product Name | |
| Tf32 Tflops Dense | |
| Tf32 Tflops Sparse |
| SKU | A40 |
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| Product title | |
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| Tagline |
| Description |
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| Datasheet revision |
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| Interconnect interface |
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| NVIDIA Ampere architecture-based CUDA Cores |
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| NVIDIA second-generation RT Cores |
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| NVIDIA third-generation Tensor Cores |
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| Peak FP32 TFLOPS (non-Tensor) |
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| Peak FP16 Tensor TFLOPS with FP16 Accumulate |
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| Peak TF32 Tensor TFLOPS |
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| RT Core performance TFLOPS |
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| Peak BF16 Tensor TFLOPS with FP32 Accumulate |
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| Peak INT8 Tensor TOPS |
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| Peak INT 4 Tensor TOPS |
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| Display ports |
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| Power connector |
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| Virtual GPU (vGPU) software support |
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| vGPU profiles supported |
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| NVENC | NVDEC |
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| Secure and measured boot with hardware root of trust |
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| NEBS ready |
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| Compute APIs |
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| Graphics APIs |
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| MIG support |
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| Performance benchmark - Rendering (Iray 2020.1) |
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| Performance benchmark - Graphics (SPECviewperf 2020) |
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| Performance benchmark - HPC (NAMD) |
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| Performance benchmark - AI Training (BERT pre-training throughput) |
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| NVLink memory scalability |
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| PCI Express Gen 3 compatibility |
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| Learn more URL |
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| Copyright |
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