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The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server.¦A2’s versatility, compact size, and…
Overview
The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server.¦A2’s versatility, compact size, and low power exceed the demands for edge deployments at scale, instantly upgrading existing entrylevel CPU servers to handle inference. Servers accelerated with A2 GPUs deliver higher inference performance versus CPUs and more efficient intelligent video analytics (IVA) deployments than previous GPU generations – all at an entry-level price point.
GPU computing processor – A2 – 16 GB
Device Type | GPU computing processor – low profile |
Bus Type | PCI Express 4.0 x8 |
Graphics Engine | NVIDIA A2 |
Memory | 16 GB GDDR6 |
CUDA Cores | 2560 |
Memory Interface | 128-bit |
Fanless | Yes |
brand | NVIDIA |
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