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 news F5 looks to squelch 'ball of fire' that is application security Updates include security scanning and penetration testing capabilities for web applications, as well as a new container-based web application firewall. By Michael Cooney May 01, 2024 4 mins Firewalls Network Security Networking news Arista targets lateral security threat in campus and data center networks Arista Macro-Segmentation Service sets up microperimeters for enterprise resource protection. By Michael Cooney May 01, 2024 3 mins Remote Access Security Network Security Networking brandpost Sponsored by Zscaler Breaches galore - why a proven platform for Zero Trust is needed Organizations need a proven platform for zero trust. But before we dive into why that is the case, we must first answer two important questions. By Zscaler Apr 30, 2024 8 mins Network Security brandpost Sponsored by Zscaler 4 reasons firewalls and VPNs are exposing organizations to breaches Yesterday’s solutions are today’s problems. By Zscaler Apr 30, 2024 11 mins Network Security PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe