Reliance

China is finding it difficult to reduce its technology sector's reliance on Nvidia chips, the Financial Times reports. Despite state efforts to promote domestic semiconductor alternatives, Chinese tech companies continue to depend on Nvidia's processors for artificial intelligence and data centre work, as homegrown chips lag in performance and supply.

Microsoft has unveiled a new custom AI chip, described by the company as its biggest bet yet on in-house silicon. The move is aimed at reducing Microsoft's dependence on Nvidia, whose GPUs currently dominate the AI computing market. The announcement intensifies the trend of major cloud providers building their own processors for artificial intelligence workloads.

Microsoft is preparing a large-scale deployment of its own custom AI chips, a move aimed at cutting the costs of running artificial intelligence services. The company has been developing in-house silicon to reduce reliance on costly third-party processors such as Nvidia's for powering its data centres and AI products.

Microsoft is announcing its third-generation Maia in-house AI chip, the Maia 300, designed to be the primary AI inference system for the company's products and services. The chip improves the cost and efficiency of running AI workloads in the cloud and offers greater capability, strengthening Microsoft's push to reduce reliance on outside chip suppliers like Nvidia.

Microsoft is reportedly developing the Maia 300, a custom AI chip intended to run artificial intelligence workloads on its own silicon rather than relying entirely on external suppliers such as Nvidia. The move fits a broader trend of cloud providers building in-house accelerators for Azure, cutting costs and reducing dependence on Nvidia's GPUs.

Microsoft is moving to depend more on its own in-house developed AI chips, cutting back its reliance on Nvidia hardware for its data centers and AI services. The shift reflects a broader effort by major cloud providers to control costs and secure supply amid surging demand for AI computing power. The news is drawing attention across the semiconductor and cloud industries, where Nvidia's dominance in AI accelerators is being increasingly challenged by custom silicon from big tech firms.

Microsoft has revealed the Maia 300, an in-house AI accelerator chip, as part of its effort to reduce dependence on Nvidia and AMD for the processors that power its data centres and AI services. Building its own silicon could lower costs and secure supply for Azure's growing artificial intelligence workloads.

Microsoft has announced the Azure Maia 300, a new AI chip intended for its cloud and artificial intelligence infrastructure. The announcement adds Microsoft to the growing list of tech companies developing their own custom silicon for AI workloads, reducing reliance on third-party chip suppliers. Details on specifications, production timeline and deployment have not yet been widely reported.

Microsoft has unveiled new Maia artificial intelligence chips, announcing its custom silicon designed to power AI workloads in its data centers. The announcement landed on a difficult day for Nvidia, whose stock fell as investors weighed what Microsoft's in-house chips could mean for demand for Nvidia's AI processors. The move signals Microsoft's push to reduce reliance on third-party chip suppliers in the AI race.

Microsoft has revealed the Maia 300, the newest entry in its line of in-house custom chips. The announcement puts Microsoft alongside other tech giants designing their own silicon to power AI workloads and reduce reliance on outside chip suppliers. Details on specifications and availability are limited so far, and there is no indication yet of how the chip will be deployed across Microsoft's data centres.

Microsoft is reportedly committing fully to developing its own custom artificial intelligence chips, according to coverage carried by Yahoo Finance. The move would reduce the company's reliance on third-party chip suppliers such as Nvidia for the hardware powering its AI services. Details beyond the headline remain limited, and it is not yet clear what specific chip programmes or investments the report refers to.

Essendon have added former Bombers player Paul Thomas to their coaching staff as an assistant, alongside Mark McVeigh. The move comes as James Hird's return to the club draws attention, with commentary noting a sad twist for the former coach amid the ongoing reshuffle of the football department. Fans are discussing the club's habit of turning to familiar former players for coaching roles.

India's ambitious deep-tech initiative is under scrutiny, with critics asking whether the programme has stalled and whether Chinese involvement in Indian technology sectors is compromising the country's tech sovereignty. The debate touches on funding delays, policy execution, and national security risks tied to Chinese firms and components in India's technology ecosystem, sparking wide discussion about India's path to technological self-reliance.

Russian commentators warn that the country's highly centralized digital economy has been left exposed by strikes and disruption tied to the war with Ukraine. Ars Technica reports that Russia's reliance on a small number of large data centers makes its online services and infrastructure fragile, a vulnerability the country did not anticipate when it launched the invasion.

Microsoft is reportedly preparing to deploy more than 1 million of its Maia 300 accelerators in 2027, making its in-house custom silicon the primary engine for AI inference across its data centers. The move would reduce the company's reliance on outside chip suppliers and test whether controlling the full stack, from chips to facilities, can help curb power consumption and costs as AI demand grows.

The International Monetary Fund has warned that a slowdown in artificial intelligence investment and spiking government bond yields are looming risks for global markets. The assessment, reported by Reuters, suggests that heavy reliance on AI-driven growth could leave markets exposed if expectations sour, while rising borrowing costs add further strain to the global economic outlook.