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.
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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.
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2 articles · 1 publication d'origine · 2 independantes
- AWS Machine Learning BlogSource primaire · Confirme · EN · 49%Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2 ↗
- TechCrunch AIIndépendante · Confirme · EN · 100%Amazon just tripled its order of Nvidia chips over ‘surging demand’ ↗
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