128 summarised stories about AI Accelerators, each linking back to the original source. Browse all topics →
Bloomberg 1 day ago 31 ● 5 sources
Microsoft is rolling out its next-gen Maia chips, with Maia 300 aimed at inference, for deployment in its server farms. Maia 300 is expected to deliver 40% more tokens per megawatt than leading GPU-based systems. As a result, Microsoft plans to increase capacity by stocking multiple gigawatts of its own chips and shifting more inference workloads to them.
The Official Microsoft Blog 1 day ago 47 ● 5 sources
Microsoft is putting Azure Maia 200 into production and planning to expand its Azure Maia chip family to multi-gigawatt deployments starting in 2027. Maia 300 is expected to deliver 40% more tokens per megawatt than leading GPU-based systems. Maia will become Microsoft’s primary inference system across Microsoft products and services, with Maia 300 production deployments beginning in 2027 to support long-context, lower-latency and multi-step agent workloads.
Tech Funding News 2 days ago 13 ● 2 sources
Ubitium raised a €14 million seed round, led by Ibex Investors, to build drone-focused onboard intelligence on a unified chip architecture. The company’s seed funding totals €18 million since launching in 2024, with evaluation units for its next-generation UB410 planned for 2027. Ubitium will shift from its UB108 demonstration silicon to developing UB410 evaluation hardware and pursuing onboard sensing and AI workloads at the physical edge.
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15 October 2026
OpenAI’s DevDay set the tone for how AI products are tightening around cost, computation, and agents—while legal pressure keeps reminding everyone that capability doesn’t ship in a vacuum. The headline was GPT-6.1 Sol and its Dots autonomous agent, positioned for higher tool-call volume and longer internal runs. Pricing is blunt: $2 per million input tokens and $10 per million output tokens, pitched as roughly one-fifth the per-task cost of GPT-6 Astra. The catch is availability and scope—Dots is rolling out only to specific ChatGPT plans, while the overall direction is clear: more work moved from chat into orchestration, where agents do the scheduling, retrieval, and stepwise execution.
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