Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2

Serving automatic speech recognition (ASR) models at scale is costly when each request uses only a fraction of a GPU. Learn how NVIDIA CUDA Multi-Process Service (MPS) with NVIDIA Triton Inference Server on Amazon EC2 GPU instances cuts GPU infrastructure by 75% while holding sub-second latency at 92.1 requests per second per GPU.

Original reporting by AWS Machine Learning · Iman Abbasnejad. GridIndex is an aggregation and intelligence layer — full credit to the original publisher.