Minimizing Deep Learning Inference Latency with NVIDIA Multi-Instance GPU – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Davide Onofrio <![CDATA[Minimizing Deep Learning Inference Latency with NVIDIA Multi-Instance GPU]]> http://www.open-lab.net/blog/?p=22868 2022-08-21T23:40:50Z 2020-12-18T18:39:52Z Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG), that...]]> Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG), that...

Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG), that play a special role for deep learning-based (DL) applications. MIG makes it possible to use a single A100 GPU as if it were multiple smaller GPUs, maximizing utilization for DL workloads and providing dynamic scalability.

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