Key takeaways
- Amazon has increased its investment in Anthropic, committing an additional $4 billion.
- AWS has been named the primary training partner for Anthropic’s core models.
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Amazon announced an additional $4 billion investment in Anthropic, the AI startup known for its Claude chatbot and advanced AI models.
This latest financing brings Amazon’s total investment in the San Francisco-based company to $8 billion, while Amazon retains a minority stake.
The companies are deepening their collaboration following their initial strategic partnership announced last September, when Amazon first invested $4 billion and Anthropic named AWS as its primary cloud provider.
Under the expanded agreement, Anthropic will use AWS Trainium and Inferentia chips to train and deploy its future core models.
“The response from AWS customers developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable,” said Matt Garman, CEO of AWS.
AWS customers will have early access to refine Anthropic models with their own data, a feature that will be exclusively available for each new Claude model for a limited time.
The expanded partnership comes as Anthropic unveils new capabilities in its AI models.
The upgraded Claude 3.5 Haiku and Claude 3.5 Sonnet introduce advanced agentic features, including desktop usage capability.
These improvements enable AI systems to perform complex tasks, such as navigating software, interpreting on-screen content, and browsing the Internet in real time.
“This has been a year of tremendous growth for Claude, and our collaboration with Amazon has been instrumental in bringing Claude’s capabilities to millions of end users,” said Dario Amodei, co-founder and CEO of Anthropic. .
The partnership underscores Amazon’s strategy in the generative AI arms race, joining competitors such as Microsoft, Google and Meta.
Companies such as Pfizer, Intuit and the European Parliament are already leveraging Claude’s capabilities through Amazon Bedrock, using its advanced AI to power search, business automation and document analysis applications.
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