In this video, I show you how to accelerate Transformer inference with Inferentia, a custom chip designed by AWS.
Starting from a Hugging Face BERT model that I fine-tuned on AWS Trainium (https://youtu.be/HweP7OYNiIA), I compile it with the Neuron SDK for Inferentia. Then, using an inf1.6xlarge instance (4 Inferentia chips, 16 Neuron Cores), I show you how to use pipeline mode to predict at scale, reaching over 4,000 predictions per second at 3-millisecond latency 🤘
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