Microsoft is reported to be working with AMD to develop AI-capable chips and provide an alternative to Nvidia. Credit: Martyn Williams/IDG Microsoft is reportedly partnering with AMD to help the chip maker develop advanced processors that support artificial AI workloads. Microsoft’s increased demand for chips that can support AI applications is due to the number of AI-based products and services it has recently released in collaboration with OpenAI, creator of ChatGPT. As a result, Microsoft has decided to collaborate with AMD to provide an alternative to Nvidia, which dominates the market for graphics processing units (GPUs) used for AI applications, according to a Bloomberg report. Microsoft has made significant investments in AI in recent months, most notably through its $100 million investment in OpenAI in January. More recently, the company has integrated its GPT-based GitHub Copilot with SharePoint, Viva and Microsoft 365. Microsoft has also announced several updates to Copilot itself under the Copilot X program and is expected to open up its ChatGPT-powered Bing Chat to the public soon. Separately, Microsoft is already said to be working on developing its own processor for AI workloads under the aegis of Project Athena, according to a report from The Information. Microsoft already has several hundred employees working on the Athena project, and, to date, has spent approximately $2 billion on its chip efforts, according to the report. The recent interest in generative AI requires significant increases in compute performance, AMD CEO Lisa Su said on a call with analysts after the company reported its first quarter 2023 financial results earlier this week. She added that the company is “very well positioned” to capitalize on this increased demand due to its large portfolio of high-performance compute engines and expanding software capabilities. “We are very excited about our opportunity in AI, this is our number-one strategic priority,” Su said. Microsoft’s efforts to develop processors for AI is in line with the strategy of rival hyperscalers, with Amazon Web Services and Google already developing their own chips for AI workloads. However, for many of these companies Nvidia remains the top supplier of chips for generative AI projects, supporting AWS, Google Cloud and even Elon Musk’s new AI business, according to a separate Bloomberg report. Niether AMD or Microsft had immediate comments on the reports. Related content analysis What is a virtual machine, and why are they so useful? Many of today’s IT innovations have their roots in virtual machines (VM) and their ability to separate software from hardware. By Keith Shaw May 03, 2024 9 mins Virtualization Data Center Networking analysis What is DNS and how does it work? The Domain Name System resolves the names of internet sites with their underlying IP addresses, adding efficiency and security in the process. By Josh Fruhlinger and Keith Shaw May 03, 2024 11 mins Internet Networking news Appeal court overturns $1.6bn mainframe software ‘poaching’ ruling against IBM AT&T ‘independently decided” to replace BMC software, the appeals court found. By John Leyden May 03, 2024 1 min Mainframes news Cisco, Red Hat extend networking, AI integrations Cisco and Red Hat will demo new network product integrations and introduce AI validated designs at the upcoming Red Hat Summit 2024. By Michael Cooney May 03, 2024 4 mins Network Virtualization Cloud Computing Networking PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe