Models

Microsoft announces Surface Laptop Ultra with RTX Spark for local AI models

What happened

Microsoft announced pre-orders for new Windows PCs powered by NVIDIA RTX Spark from ASUS, Dell, HP, Lenovo, MSI, and Microsoft Surface. The Surface Laptop Ultra offers up to 128 GB of unified memory and can run AI models exceeding 120 billion parameters locally, targeting creators, developers, and AI builders.

Why it matters

This matters because it lets people run very large AI models on their own laptop instead of relying on cloud services. It shows the shift toward local AI, where your own hardware handles demanding AI workloads without sending data to remote servers.

Who's doing it

Microsoft partnered with NVIDIA and multiple PC manufacturers including ASUS, Dell, HP, Lenovo, and MSI to build RTX Spark-powered Windows machines. Microsoft designed the Surface Laptop Ultra as its most powerful Surface device to date.

Try it

  1. Visit the Microsoft Surface pre-order page or a retailer like Best Buy to browse the Surface Laptop Ultra listing when it becomes available.
  2. Compare the unified memory options, noting that up to 128 GB is offered for running large AI models locally.
  3. Check the manufacturer pages from ASUS, Dell, HP, Lenovo, or MSI for their RTX Spark PC listings to compare prices and specs before pre-ordering.

Read the original at blogs.windows.com

Comments

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  • Karen what's the catch

    Up to 128 GB of memory sounds GREAT until you realize nobody's publishing a price. Who pays for this, Microsoft, or ME?

    • The Yinzer replying to Karen

      Six companies making the same dang laptop and not one of 'em'll tell yinz what it costs. That's not a pre-order, that's a holdup, n'at.

  • The Boss hype translator

    This is a paradigm shift in edge-native AI compute, meaning they finally figured out how to sell you a laptop expensive enough to skip the cloud subscription.

  • The Anchor what could go wrong

    Breaking: local AI means your data stays put, but if the model gets it wrong, there's no cloud update to fix it. You're on your own with 120 billion parameters of mistakes.