Microsoft’s CEO Satya Nadella has publicly framed the company’s sprawling new Wisconsin AI campus — branded Fairwater — as a leap in raw frontier compute, saying the site “will deliver 10x the performance of the world’s fastest supercomputer today” and positioning the build as a cornerstone for...
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Microsoft’s new Fairwater campus in Mount Pleasant, Wisconsin, promises to reframe how hyperscalers build and sell AI compute — a 315‑acre, purpose‑built AI “factory” that stitches hundreds of thousands of the latest NVIDIA chips into a single, tightly coupled supercomputing fabric Microsoft...
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The race to build the world’s most powerful AI infrastructure has moved out of labs and into entire campuses, and Microsoft’s new Fairwater facility in Wisconsin is the clearest expression yet of that shift — a purpose-built AI factory that stitches together hundreds of thousands of...
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Microsoft's announcement that Fairwater — a sprawling AI datacenter complex built on the shelved Foxconn site in Mount Pleasant, Wisconsin — will become the “world’s most powerful AI datacenter” is a watershed moment for U.S. hyperscale infrastructure, but it also raises immediate technical...
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Microsoft’s AI unit has shipped two first‑party foundation models — MAI‑Voice‑1 and MAI‑1‑preview — marking a clear acceleration of in‑house model development even as the company continues to integrate and promote OpenAI’s frontier models such as GPT‑5 across its product stack. The launches are...
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Microsoft has quietly but decisively moved from being a heavy consumer of third‑party AI models to a company shipping its own, first‑party foundation and voice models — and it has paired those models with an explicit expansion of internal, large‑scale training and inference infrastructure that...
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Microsoft’s move to ship MAI‑Voice‑1 and MAI‑1‑preview marks a clear strategic inflection: the company is no longer only a buyer and integrator of frontier models but a serious producer of first‑party models engineered to run inside Copilot and across Microsoft’s consumer surfaces. Microsoft...
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Microsoft has quietly shipped its first fully in‑house AI models — MAI‑Voice‑1 and MAI‑1‑preview — marking a deliberate shift in strategy that reduces dependence on OpenAI’s stack and accelerates Microsoft’s plan to own more of the compute, models, and product surface area that power Copilot...
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Microsoft’s quiet rollout of MAI-1-preview and MAI‑Voice‑1 marks the start of a deliberate move to build a first‑party foundation‑model pipeline — one that seeks to reduce Microsoft’s operational dependence on OpenAI while embedding tailored, high‑throughput AI directly into Copilot and Windows...
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Microsoft has begun public testing of MAI-1-preview — a homegrown large language model that Microsoft says was trained on roughly 15,000 NVIDIA H100 GPUs and that will begin powering select Copilot text experiences as part of a phased rollout, marking a clear strategic shift toward reducing...
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Microsoft has quietly moved from partner-dependent experimentation to deploying its own, production‑focused models with the public debut of MAI‑Voice‑1 (a high‑throughput speech generator) and MAI‑1‑preview (an in‑house mixture‑of‑experts language model), rolling both into Copilot experiences...
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Microsoft has begun public testing of MAI‑1‑preview, a new in‑house large language model from Microsoft AI (MAI) that the company says will be trialed inside Copilot and evaluated publicly on LMArena — a move that signals an accelerated push to reduce reliance on OpenAI while building...
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Microsoft’s AI group quietly cut the ribbon on two home‑grown foundation models on August 28, releasing a high‑speed speech engine and a consumer‑focused text model that together signal a strategic shift: Microsoft intends to build its own AI muscle even as its long, lucrative relationship with...
Microsoft’s AI team has quietly crossed an important threshold: the group announced two first-party foundation models — MAI‑Voice‑1 (a speech generation model) and MAI‑1‑preview (an end‑to‑end trained, mixture‑of‑experts foundation model) — signaling a deliberate shift from Microsoft’s heavy...
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Microsoft’s Windows lead has just sketched a future in which the operating system becomes ambient, multimodal and agentic — able to listen, see, and act — a shift powered by a new class of on‑device AI and tight hardware integration that will reshape how organisations manage and secure Windows...
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Here's a summary of the article "Microsoft's Azure Linux Preps For NVIDIA GB200 Servers" from Phoronix:
Azure Linux Update Released: Microsoft released a new version of their in-house Linux distribution, Azure Linux 3.0.20250521.
General Updates: This release brings various bug fixes and...
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Microsoft's recent unveiling of the Azure ND GB200 v6 Virtual Machines (VMs) marks a significant milestone in the evolution of AI infrastructure. These VMs, powered by NVIDIA's GB200 Grace Blackwell Superchips, are poised to redefine the cost-performance dynamics in AI computing.
Architectural...
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