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Amazon investing up to $25bn in Anthropic AI infrastructu...
Laura Varley · 2026-04-21 · via Business – Silicon Republic

This latest investment is in addition to the $8bn Amazon has already invested in the AI company.

In line with a strategy to expand AI infrastructure, Amazon has announced plans to invest up to $25bn into Anthropic – $5bn now and as much as $20bn in the future. To date, Amazon has invested $8bn in Anthropic and the AI start-up has also committed to ‌spending more than $100bn over the next 10 years on Amazon’s cloud technologies.

This will include current and future generations of Trainium, which is Amazon’s custom AI chips, and tens of millions of Graviton cores, Amazon’s CPU chip. Additionally, Anthropic will secure up to 5GW of capacity to train and power their AI models, including significant Trainium3 capacity which is expected to come online this year. 

Commenting on the announcement, Andy Jassy, the CEO of Amazon, said: “Anthropic’s commitment to run its large language models on AWS Trainium for the next decade reflects the progress we’ve made together on custom silicon, as we continue delivering the technology and infrastructure our customers need to build with generative AI.”

The news is hot on the heels of Anthropic’s plans to release Mythos, the platform’s latest model, to UK financial institutions. The model was launched as part of a limited release earlier this month, with access granted to big businesses and financial organisations to bolster their security. Reportedly, Mythos vastly outperforms other AI models in vulnerability detection and exploitation.

Amazon has been investing heavily in AI infrastructure as of late, with a $50bn contribution to a recent OpenAI funding round that closed at $110bn. As part of the round, Nvidia invested $30bn and SoftBank invested $30bn. The investment brought OpenAI from a $500bn valuation to a $730bn pre-money valuation.

OpenAI also has an additional deal with Amazon in which the organisation will utilise 2GW of computing capacity powered by Amazon’s in-house Trainium chips.

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