Restructuring move puts Intel's gaming and data center products into separate categories to better serve both markets. Credit: Thinkstock Intel announced plans to split its AXG graphics group and move the resources into two existing business units to better serve their respective markets. The consumer/gaming end of the GPU business will move to Intel’s Client Compute Group (CCG), which develops consumer computing platforms based on the company’s CPU products. The teams responsible for data center and supercomputing products such as the Ponte Vecchio and Rialto Bridge will move to the Data Center and AI (DCAI) business unit. The GPU SoC and IP design teams will also fall under the DCAI umbrella, but they will continue to support the client graphics team. Jeff McVeigh, currently the vice president and general manager of the Super Compute Group, will serve as the interim leader of this team until a permanent leader is found. Raja Koduri – currently the executive vice president of the AXG business unit who spearheaded Intel’s efforts to build a decent GPU after years of less-than-stellar attempts – will return to his previous role as an Intel Chief Architect. That may sound like a demotion, but Koduri is an engineer and may be happy to return his focus to chip design, which he does well. Koduri said on Twitter he is currently in his native India where he had back surgery and will spend another month there recovering. All told, this is a smart move. Yes, the consumer and data center products are the same Xe core, but they are designed, built, sold, and supported differently and should be in the groups aimed at those markets. AMD and Nvidia do the same thing. “It makes sense when you consider that the consumer side of the GPU business is much more closely aligned with the consumer processors, and the HPC side of the GPU business is much more closely aligned with the data center business,” Anshel Sag, principal analyst with Moor Insights & Strategy, told me via email. “If Intel wants to be successful in these areas with its GPUs, it makes sense for the GPU divisions to be integrated more tightly with the CPU business and aligned on marketing and messaging. This feels like a natural organizational streamlining, but better integrating these GPU products into the core consumer and data center businesses,” he added. Related content news Supermicro unveils AI-optimized storage powered by Nvidia New storage system features multiple Nvidia GPUs for high-speed throughput. By Andy Patrizio Oct 24, 2024 3 mins Enterprise Storage Data Center news Nvidia to power India’s AI factories with tens of thousands of AI chips India’s cloud providers and server manufacturers plan to boost Nvidia GPU deployment nearly tenfold by the year’s end compared to 18 months ago. By Prasanth Aby Thomas Oct 24, 2024 5 mins GPUs Artificial Intelligence Data Center news Gartner: 13 AI insights for enterprise IT Costs, security, management and employee impact are among the core AI challenges that enterprises face. By Michael Cooney Oct 23, 2024 6 mins Generative AI Careers Data Center news Network jobs watch: Hiring, skills and certification trends What IT leaders need to know about expanding responsibilities, new titles and hot skills for network professionals and I&O teams. By Denise Dubie Oct 23, 2024 33 mins Careers Data Center Networking PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe