Las Vegas: Amazon Web Services’ custom AI chip line, Trainium, is now a multibillion-dollar business, with its Trainium 3 UltraServers available and work underway on the next-generation chip, Trainium 4.
Speaking at the company’s annual event, AWS re:Invent 2025 in Las Vegas, CEO Matt Garman said that Trainium is already a multibillion-dollar business, and that 1 million Trainium chips have been deployed so far.
Trainium is AWS’s in-house chip used for both training and inference, positioning the company to compete with Nvidia, the market leader in AI training.
Customers using Trainium 3 include Anthropic, Karakuri, Metagenomics, Neto.ai, Ricoh, and Splashmusic. According to AWS, Trainium can reduce the cost of training and inference by up to 50%.
In addition, the company is doubling down on AI agents. Garman said that the advent of agents represents a key inflection point, with the true value of AI still waiting to be unlocked. He added that reaching the age of agents requires reimagining every process—and that demands powerful AI at the lowest possible cost.
AWS’s work on AI chips is a step in this direction. The company has also partnered with Nvidia, and says it is expanding its compute portfolio with P6e-GB300 UltraServers, featuring Nvidia’s most advanced GPU architecture on AWS Cloud.
The company has also expanded Nova, AWS’s suite of AI models, introducing four new models focused on reasoning, multimodal processing, conversational AI, and code generation.
(The reporter is attending AWS re:Invent 2025 in Las Vegas at the invitation of AWS)
Speaking at the company’s annual event, AWS re:Invent 2025 in Las Vegas, CEO Matt Garman said that Trainium is already a multibillion-dollar business, and that 1 million Trainium chips have been deployed so far.
Trainium is AWS’s in-house chip used for both training and inference, positioning the company to compete with Nvidia, the market leader in AI training.
Customers using Trainium 3 include Anthropic, Karakuri, Metagenomics, Neto.ai, Ricoh, and Splashmusic. According to AWS, Trainium can reduce the cost of training and inference by up to 50%.
In addition, the company is doubling down on AI agents. Garman said that the advent of agents represents a key inflection point, with the true value of AI still waiting to be unlocked. He added that reaching the age of agents requires reimagining every process—and that demands powerful AI at the lowest possible cost.
AWS’s work on AI chips is a step in this direction. The company has also partnered with Nvidia, and says it is expanding its compute portfolio with P6e-GB300 UltraServers, featuring Nvidia’s most advanced GPU architecture on AWS Cloud.
The company has also expanded Nova, AWS’s suite of AI models, introducing four new models focused on reasoning, multimodal processing, conversational AI, and code generation.
(The reporter is attending AWS re:Invent 2025 in Las Vegas at the invitation of AWS)