About AWS Trainium/Inferentia
Trainium and Inferentia are custom AI accelerators designed by Amazon Web Services for training and inference, offered as cloud instances and supported by the AWS Neuron software stack. They come from AWS's in-house silicon effort, which grew from its 2015 acquisition of the Israeli chip designer Annapurna Labs and also produced the Nitro and Graviton chips. Trainium2 powers Project Rainier, which AWS built for Anthropic. AWS positions the chips as an alternative to merchant GPUs.
AWS Trainium/Inferentia was founded in 2018 and is based in Seattle, WA, United States. It is listed under AI Accelerators, ASICs, TPUs, Custom Silicon. Its shares trade as AMZN on NASDAQ.
Compute Technologies
- AI Accelerators
- ASICs
- Tensor Processing
- Custom Silicon
What AWS Trainium/Inferentia works on
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
ASICs
An ASIC, or application-specific integrated circuit, is a chip designed to do one job or a narrow set of jobs. Its circuits are fixed when the chip is made. A CPU can run any program; an ASIC does what it was designed for and nothing else.
TPUs
A TPU, or tensor processing unit, is a chip designed by Google to run machine learning. A tensor is a grid of numbers, and neural networks are mostly built from multiplying such grids. A TPU is organised around doing that one operation very efficiently.
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