TLDR
- Nvidia and Microsoft announced a unified accelerated computing stack for agentic AI across Windows PCs, Azure cloud, and local deployments at Microsoft Build.
- Two new Windows devices are coming: RTX Spark PCs (1 petaflop of AI power, 128GB memory, launching this fall) and DGX Station for Windows (runs models up to 1 trillion parameters, arriving Q4).
- Microsoft is adding Nvidia’s open models — including new Nemotron 3 Ultra and Cosmos 3 — to its Azure Foundry platform, alongside models from Anthropic and OpenAI.
- Nvidia’s Vera Rubin platform has been approved for Azure data centers, delivering up to 10x more inference throughput per megawatt.
- Wall Street holds a Strong Buy consensus on Nvidia stock with an average price target of $309.94, implying about 39% upside.
Nvidia (NVDA) stock was down 0.69% and Microsoft (MSFT) was down 4.17% at the time of the announcement, but the news out of Microsoft Build was anything but quiet. The two companies have deepened their partnership with a full-stack platform for agentic AI — one that spans Windows PCs, Azure cloud, and on-premise deployments.
Jensen Huang joined Satya Nadella’s keynote via video from Taipei to lay out the plan. The partnership covers hardware, runtimes, data infrastructure, and AI models — everything a developer needs to build, run, and scale agents.
New Windows Hardware for AI Agents
Two new devices are central to the announcement. RTX Spark PCs are the first Windows machines purpose-built for personal AI agents. They pack 1 petaflop of AI performance, up to 128GB of unified memory, and full offline capability. Systems arrive this fall from Microsoft Surface, Dell, HP, Lenovo, ASUS, and MSI.
The DGX Station for Windows is the heavyweight option — a deskside AI supercomputer powered by the GB300 Grace Blackwell Ultra Desktop Superchip with up to 748GB of coherent memory. It can run frontier models of up to 1 trillion parameters. Launch is set for Q4, with systems coming from ASUS, Dell, HP, MSI, and others.
Both devices run Nvidia OpenShell, a secure runtime designed for autonomous agents. OpenShell is also now integrated into GitHub Copilot, where each agent runs in its own sandboxed container with policy-based outbound call evaluation.
Expanding the Azure AI Ecosystem
On the cloud side, Microsoft is bringing Nvidia’s open model portfolio to Microsoft Foundry. The lineup includes the new Nemotron 3 Ultra reasoning model, Nemotron 3.5 ASR for speech recognition, Cosmos 3 for physical AI and world simulation, and Earth-2 weather models.
Anthropic’s Claude models are now running natively on Nvidia GB300 Blackwell Ultra systems on Azure, with customer availability expected in the coming weeks.
Microsoft Fabric Data Warehouse has also been updated with Nvidia accelerated computing. Internal benchmarks show SQL execution up to 6x faster than a CPU-powered baseline and up to 7x faster than three competing cloud data warehouse providers for high-concurrency workloads.
Microsoft’s Fairwater, Wisconsin AI factory is now live ahead of schedule, running hundreds of thousands of Nvidia Grace Blackwell systems. A second facility in Georgia connects to it to form a distributed AI system.
Nvidia’s Vera Rubin platform has been validated and approved for Azure data centers. It delivers up to 10x inference throughput per megawatt compared to prior hardware, and cuts the cost per agentic token by an order of magnitude. It slots alongside Blackwell with no retrofits required.
Wall Street currently has a Strong Buy consensus on Nvidia, with 38 Buy ratings, one Hold, and one Sell. The average NVDA price target of $309.94 represents roughly 39% upside from current levels.
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