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    Microsoft to scale custom Maia AI chips to multi-gigawatt scale●Microsoft has officially signaled a monumental shift in its cloud infrastructure, announcing plans to scale its custom sMmastodonTechnologySemiconductors21 h ago

    Microsoft has announced plans to expand its custom Azure Maia AI accelerator chips to multi-gigawatt capacities, marking a major shift in its cloud infrastructure strategy. The move signals the company is reducing its heavy reliance on Nvidia's GPUs for AI workloads by building out its own silicon at datacenter scale, part of the broader industry race to secure computing power for artificial intelligence.

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    Nvidia reportedly halts RTX 5090 production amid AI demand●Nvidia reportedly halts GeForce RTX 5090 production in favor of data center GPUsYhnTechnologySemiconductors833 min ago

    Nvidia has reportedly stopped production of its GeForce RTX 5090 consumer graphics card, shifting manufacturing capacity toward AI data center and professional GPUs. Reports suggest an impending supply shortage could drive up prices for gamers, while the RTX 5080 24GB is rumored to become the new flagship gaming card. The move reflects Nvidia's prioritization of far more lucrative AI accelerator sales over the gaming market, a shift critics say leaves PC gamers with shrinking high-end options.

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    Microsoft's Maia Chip Bet Under Scrutiny Over Margin Impact▼Does The Maia Chip Bet Materially Alter Microsoft’s Operating Margin Outlook?✉newsTechnologySemiconductors1 h ago

    Analysts are examining whether Microsoft's investment in its custom Maia AI chip will meaningfully change the company's operating margin outlook. Developing in-house silicon could reduce Microsoft's reliance on costly Nvidia GPUs for AI workloads, potentially improving long-term cost efficiency, but heavy upfront research and manufacturing expenses may weigh on margins in the near term. The question of timing and scale of the payoff remains open.

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    Microsoft has unveiled the Maia 300, a new artificial intelligence chip. The announcement places Microsoft further into custom silicon for AI workloads, an area currently dominated by Nvidia's GPUs and rival in-house efforts from Google, Amazon and others. Details on performance, manufacturing and availability were not included in the initial report, and reaction from analysts and industry watchers is still limited.

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