CUSTOM MACHINE-LEARNING TRAINING
Custom machine-learning training silicon built around NeuronCore
Custom machine-learning training silicon built around NeuronCore
Official pages place Trainium in the AWS custom-silicon program
AI & HPC · Data Center
Public source
AWS Trainium is a publicly named custom machine-learning training architecture.
Silicon Showcase illustrative visual
Illustrative representation based on publicly available technical information.
Trainium is AWS’s custom machine-learning training silicon, built around NeuronCore and used in EC2 Trn instances. Official AWS silicon pages describe purpose-built ML chips as part of AWS custom silicon.
Official AWS pages present Trainium as purpose-built ML silicon built around NeuronCore and used in Amazon EC2 Trn instances, within AWS’s custom-silicon program. This listing records the Trainium training architecture rather than every Trainium generation, and rather than Inferentia as a second row in this expansion. Graviton remains a separate Arm server CPU and is not added here. Google TPU and Microsoft Azure Maia are other hyperscaler custom accelerators. Instance types and NeuronCore counts should be confirmed on AWS’s current Trainium pages.
Key characteristics associated with this technology.
Custom machine-learning training silicon built around NeuronCore
Official pages place Trainium in the AWS custom-silicon program
Used in Amazon EC2 Trn instances as described by AWS
Not a separate Inferentia or Graviton listing in this expansion
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