AMD, Nutanix Partner on Agentic AI

AMD and Nutanix have announced a strategic partnership and up to $250 million investment to build an open, full-stack platform for enterprise agentic AI applications.

AMD, Nutanix Partner on Agentic AI
AMD

AMD and Nutanix have forged a multi-year strategic partnership, aiming to develop an open, full-stack AI infrastructure platform for enterprise "agentic AI" applications. This collaboration, announced by AMD on February 25, 2026, will see AMD invest up to $250 million in Nutanix to accelerate the adoption of their joint offering.

StartupHub data

Companies working on this

Profiles of the companies named in this story, with funding and a one-liner from our database.

AMD
Designs and manufactures high-performance microprocessors and graphics processors for computing and data center markets.

The investment includes $150 million for a strategic equity stake in Nutanix common stock, alongside up to $100 million allocated for joint research and development (R&D) and go-to-market initiatives. This funding is designed to fast-track the deployment of the AMD Nutanix agentic AI platform.

The partnership focuses on optimizing Nutanix Cloud and Kubernetes Platforms with AMD EPYC CPUs and Instinct GPUs. A key aspect involves integrating AMD ROCm and Enterprise AI software, crucial for robust AI hardware software integration. This aims to provide scalable, production-ready AI solutions across data centers, hybrid clouds, and edge environments.

Both companies emphasize an open ecosystem for AI, specifically targeting inference workloads. The first jointly developed platform is anticipated to launch in late 2026. This offering seeks to simplify enterprise deployment of open-source and commercial AI models, reducing reliance on vertically integrated AI stacks.

Dan McNamara, senior vice president at AMD, highlighted the necessity for enterprise customers to run AI workloads without compromise, stressing flexibility and innovation. Nutanix President Tarkan Maner echoed this sentiment, focusing on scalable, production-ready infrastructure optimized for inference and agentic applications across hybrid environments.

© 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

More from Daniel Singer