Microsoft said it will scale the Azure Maia family to multi-gigawatt deployments starting in 2027, making Maia its primary inference system for Microsoft products and services. Maia 200 is already serving production workloads including Microsoft Copilot. Maia 300 targets long-context reasoning, low-latency conversation and multi-step agents, with Microsoft claiming up to 40% more tokens per megawatt versus leading GPU systems. Production deployments of Maia 300 are planned for 2027.
What it means: Microsoft’s push into custom inference silicon changes the cost math for anyone relying on Azure Copilot, Foundry and related APIs. For Greek businesses, prices, capacity and regional availability may depend more on Microsoft’s own stack and less on third-party GPU markets. Teams building long-context or continuous agent workflows should test performance and rate limits before locking critical processes to one path. Supplier diversification remains prudent, because a strong internal platform reduces Microsoft’s incentive to price every rival model equally. Greek SaaS vendors should plan fallbacks to open or alternative models when inference cost squeezes margins, and they should revisit cloud contracts as Maia capacity ramps through 2027. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs.
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Related service: Custom software