Amazon invests billions in Anthropic to dethrone Nvidia

Amazon's Trainium chips are about to get a lot busier, at least that's what Amazon hopes will happen after it pumps another $4 billion into the Artificial Intelligence (AI) startup Anthropic. The companies announced a huge new deal recently that brings Amazon's total investment in Anthropic to $8 billion. The goal of all this money is mainly to get Amazon's AI chips to be used more often to train and run Large Language Models (LLMs) which, while that might sound like a selfish thing to do is likely more because ultimately Amazon wants to save huge amounts of money having to buy powerful Nvidia GPUs like the B200’s but also sees an upside as these same GPUs powered Nvidia to a $3 Trillion valuation a while ago.

Anthropic said that in return for this cash injection, it would use AWS as its "primary cloud and training partner." It said it would also help Amazon design future Trainium chips and contribute to building out an Amazon AI-model-development platform called AWS Neuron.

This is an all-out assault on Nvidia, which dominates the AI chip market with its GPUs, servers, and CUDA platform. Nvidia's stock dropped by more than 3% on Friday after the Amazon-Anthropic news broke.

The challenge will be getting Anthropic to actually use Trainium chips in big ways. Switching away from Nvidia GPUs is complicated, time-consuming, and risky for AI-model developers, and Amazon has struggled with this itself in the past.

Earlier this week, Anthropic CEO Dario Amodei didn't sound like he was all in on Amazon's Trainium chips, despite another $4 billion coming his way.

"We use Nvidia, but we also use custom chips from both Google and Amazon," he said at the Cerebral Valley tech conference in San Francisco. "Different chips have different trade-offs. I think we're getting value from all of them."

In 2023, Amazon made its first investment in Anthropic, agreeing to put in $4 billion. That deal came with similar strings attached. At the time, Anthropic said that it would use Amazon's Trainium and Inferentia chips to build, train, and deploy future AI models and that the companies would collaborate on the development of chip technology.

It's unclear whether Anthropic followed through. The Information reported recently that Anthropic preferred to use Nvidia GPUs rather than Amazon AI chips. The publication said the talks about this latest investment focused on getting Anthropic more committed to using Amazon's offerings.

There are signs that Anthropic could be more committed now, after getting another $4 billion from Amazon.

In Friday's announcement, Anthropic said it was working with Amazon on its Neuron software, which offers the crucial connective tissue between the chip and the AI models. This competes with Nvidia's CUDA software stack, which is the real enabler of Nvidia's GPUs and makes these components very hard to swap out for other chips. Nvidia has a decade long head start on CUDA, and competitors have found that difficult to overcome.

Anthropic's "deep technical collaboration" suggests a new level of commitment to using and improving Amazon's Trainium chips.

Though several companies make chips that compete with or even beat Nvidia's in certain elements of computing performance, no other chip has touched the company in terms of market or mind share.

Amazon is on a short list of cloud providers attempting to stock their data centers with their own AI chips and avoid spending heavily on Nvidia GPUs, which have profit margins that often exceed 70%.

Amazon debuted its Trainium and Inferentia chips, named after the training and inference tasks they're built for, in 2020 with the aim to become less dependent on Nvidia and find a way to make cloud computing in the AI age cheaper.

"As customers approach higher scale in their implementations, they realize quickly that AI can get costly," Amazon CEO Andy Jassy said on the company's October earnings call. "It's why we've invested in our own custom silicon in Trainium for training and Inferentia for inference."

But like its many competitors, Amazon has found that breaking the industry's preference for Nvidia is difficult. Some say that's because of CUDA, which offers an abundant software stack with libraries, tools, and troubleshooting help galore. Others say it's simple habit or convention.

In May, the Bernstein analyst Stacy Rasgon told reporters he wasn't aware of any companies using Amazon AI chips at scale, but with Friday's announcement, that might change. Jassy said in October that the next-generation Trainium 2 chip was ramping up.

"We're seeing significant interest in these chips, and we've gone back to our manufacturing partners multiple times to produce much more than we'd originally planned," Jassy said.

Still, Anthropic's Amodei sounded this week like he was hedging his bets.

"We believe that our mission is best served by being an independent company," he said. "If you look at our position in the market and what we've been able to do, the independent partnerships we have Google, with Amazon, with others, I think this is very viable."