Heaptalk, Jakarta — Anthropic received additional $4 billion investment from Amazon and established Amazon Web Services (AWS) as its primary cloud (11/22). This expanded collaboration brings Amazon’s total investment in Anthropic to $8 billion.
This AI research company collaborates with Amazon’s microelectronic company, Annapurna Labs, to develop and optimize AWS’ machine learning chip, Trainium accelerators. This development effort aims to optimize every aspect of model training from the silicon up through the full stack.
“Through deep technical collaboration, we’re writing low-level kernels that allow us to directly interface with the Trainium silicon, and contributing to the AWS Neuron software stack to strengthen Trainium. Our engineers work closely with Annapurna’s chip design team to extract maximum computational efficiency from the hardware, which we plan to leverage to train our most advanced foundation models,” Anthropic stated on its official page (11/22).
In addition, Anthropic will use AWS Trainium and Inferentia chips to train and deploy its future foundation models. Both companies will continue to work closely to advance Trainium’s hardware and software capabilities. This next phase of the collaboration will even further enhance the premium performance, security, and privacy Amazon Bedrock provides for customers running Claude models.
Anthropic and AWS have collaborated to give AWS customers early access to the ability to do fine-tuning with their data on Anthropic models, a customization benefit that AWS customers will enjoy for each model for a while on new Claude models. According to Matt Garman, AWS CEO, the response from its customers developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable.
“By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on developing our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration,” Garman concluded.
