---
title: "Anthropic ported Claude to AMD chips in three days: company claims break from Nvidia dependence"
description: "Anthropic stated it ported the Claude model to AMD graphics processors in three days with almost no human intervention, using its own Mythos AI model. The company trains Claude on four chip types and views this as a way to reduce dependence on the Nvidia CUDA ecosystem."
date: 2026-11-12T11:00:54.708Z
lang: en
url: https://xab.info/en/posts/anthropic-claude-amd-gpu-three-days
tags: [anthropic, claude, nvidia, amd, ai-chips, cuda, compute]
author: "Alexander Buran"
publisher: "XAB.info"
---

# Anthropic ported Claude to AMD chips in three days: company claims break from Nvidia dependence

![Comparison chart of AWS, Google, Nvidia, and AMD processors performance for artificial intelligence](https://xab.info/media/2026/11/12/anthropic-claude-amd-gpu-tri-dnya/anthropic-claude-amd-gpu-tri-dnya-1.webp)

## Key Points

- Anthropic ported the Claude model to AMD GPUs in three days with almost no human intervention, using its own Mythos AI model, which independently wrote or ported nearly 100% of the software kernels.
- The company trains and runs Claude on four chip types: AWS Trainium, Google TPU, Nvidia GPU, and AMD GPU, treating them as a single interchangeable pool.
- If independently verified, the software barriers of the CUDA ecosystem could weaken, reducing the industry's reliance on Nvidia.
- Nvidia and AMD are investing in Anthropic: Nvidia promised up to $10B and is participating in a $26B pre-IPO funding round (SEC filings from Nov 10, 2026).

Anthropic has announced that it has shed its dependence on Nvidia hardware by building its strategy around the use of multiple chip types simultaneously. The company's key claim is that it managed to port its own artificial intelligence model Claude to AMD graphics processors in just three days — and with virtually no human intervention. According to Anthropic co-founder and head of compute Tom Brown, the company now trains and runs Claude on hardware from four major chip suppliers: AWS Trainium, Google TPU, Nvidia GPU, and AMD GPU. Thus, the company views compute resources with different architectures and in different geographical locations as a single interchangeable pool.

### Three days instead of months

The most serious test for Anthropic was working with AMD graphics processors. Previously, adapting a new chip platform required the efforts of dozens of engineers over many months. This year, the company utilized AMD GPUs for the first time and entrusted the task to its own advanced AI model, Mythos. According to Anthropic, the Claude model started running on AMD chips in just three days with almost no human intervention: the model independently ported or wrote nearly 100 percent of the necessary software kernels.

### An unconventional bet on four platforms

According to Brown, early on Anthropic made an "unconventional bet" on using different chip types, while most industry participants considered such an effort unjustified. Each chip type requires its own specialized software and stack for computation and inference, which is costly and time-consuming. Nevertheless, the company has invested in this direction for years and, in Brown's assessment, has achieved "incredible success" in it.

### Breaking the CUDA barrier

Nvidia's main competitive advantage lies in the combination of hardware and software, specifically the CUDA ecosystem, which "locks" developers into the company's chips. Historically, porting AI models to other chip architectures required so much effort that many companies didn't even try. If Anthropic's results are independently verified, this could mean that the software barriers long considered Nvidia's main trump card will be significantly reduced thanks to artificial intelligence itself. Companies will be able to switch between suppliers more easily, choosing the most cost-effective or available options. Amid equipment shortages and Nvidia's margins exceeding 70 percent in the AI chip market, this flexibility becomes a strategic asset: Anthropic claims it gets more return on every dollar invested in compute than any other advanced AI lab.

### Compute multipliers and recursive self-improvement

In addition to its multi-platform strategy, Anthropic relies on so-called "compute multipliers" — scientific breakthroughs that deliver higher performance with the same physical compute power. According to the company, these multipliers complement each other: each new breakthrough reinforces the effect of the previous one. In the future, the Claude model should learn to find such multipliers independently, which would mean a transition to recursive self-improvement — a concept actively discussed among AI researchers but not yet practically proven.

### Anthropic Direct and competitor investments

Under the "Anthropic Direct" program, the company is building its own data center capacities: instead of simply renting cloud resources, it takes chips into use and operates them in specially prepared data centers, reducing total cost of ownership. Notably, both competing chipmakers — Nvidia and AMD — are actively investing in Anthropic itself. Nvidia promised to invest up to $10 billion in the company in late 2025 and is participating in a $26 billion private placement round ahead of an IPO, according to SEC filings dated November 10, 2026.

## Fact-Check & Sources

- [Anthropic нашла способ слезть с Nvidia CUDA — Claude перенесли на чипы AMD за три дня почти без помощи людей](https://3dnews.ru/1151181) - Primary source: statements by Anthropic and Tom Brown from an investor presentation. The fact of the public statement is confirmed; the technical result (3 days, ~100% kernels, Mythos model) is a company self-report without independent verification.
- [Anthropic нашла способ слезть с Nvidia CUDA — Claude перенесли на чипы AMD за три дня почти без помощи людей](https://3dnews.ru/1151181/anthropic-nashla-sposob-slezt-s-nvidia-cuda-claude-perenesli-na-chipi-amd-za-tri-dnya-pochti-bez-pomoshchi-lyudey) - Первоисточник: заявления Anthropic и Тома Брауна из презентации для инвесторов. Факт публичного заявления подтверждён; технический результат (3 дня, ~100% ядер, модель Mythos) — самоотчёт компании без независимой верификации.

## FAQ

### How many days did it take Anthropic to port Claude to AMD chips?

According to the company, the Claude model began running on AMD graphics processors in just three days, with virtually no human intervention.

### Which AI model performed the port to AMD?

The task was entrusted to Anthropic's own advanced model, Mythos, which independently ported or wrote nearly 100 percent of the required software kernels.

### What types of chips does Claude run on now?

According to Tom Brown, Anthropic trains and runs Claude on four major suppliers: AWS Trainium, Google TPU, Nvidia GPU, and AMD GPU.

### Why is this important for Nvidia?

Nvidia's main advantage is the CUDA ecosystem, which "locks in" developers. If porting to other architectures becomes fast and automated, the software barrier will weaken, allowing companies to switch between suppliers more easily.

### Are Nvidia and AMD investing in Anthropic?

Yes. Nvidia promised to invest up to $10 billion in late 2025 and is participating in a $26 billion private placement round ahead of an IPO, according to SEC filings dated November 10, 2026.