Microsoft's Surface Laptop Ultra Promises to Run Artificial Intelligence Without Internet: Is It Really Worth It?

Why does it take a computer worth thousands of dollars to run artificial intelligence?

Today, you can open and use many artificial intelligence applications from the browser. However, things change when you want to run larger models on your own computer.

Graphic processor, memory capacity and software compatibility are becoming as important as the processor.

The Verge's October 16, 2026 Surface Laptop Ultra review reveals both the strengths of this approach and the ways it's not yet for everyone. While the computer's hardware is impressive, the native AI workflows are still complicated for some users, according to the review. The Verge

What makes the computer different?

Surface Laptop Ultra is a new high-performance computer developed by Microsoft with NVIDIA and targeting native artificial intelligence workloads.

The high-end model The Verge tested has a 20-core processor, 6,144 CUDA-core graphics processor, 128 GB combined memory and 1 TB Gen 5 SSD. The price of this configuration tested in the review is stated to be approximately $ 5,899. The price of the starting configuration is $ 2,599. The Verge

The concept of unified memory is important here.

In traditional computers, system memory and graphics card memory are usually configured separately. In the unified memory approach, the CPU and GPU can share the same memory pool. This can be useful for running large models locally.

However, high memory capacity alone does not mean that every artificial intelligence model will run fast. The size of the model, quantization method, software support and GPU performance are also decisive.

What does local artificial intelligence bring?

Local AI means that a significant portion of the modeling and calculation occurs on the own computer rather than in the cloud.

This may have three main advantages.

Privacy: When processing files with appropriate native tools, you may avoid having to send content to an external AI service.

Continuous use cost: For some jobs, you can take advantage of your existing hardware instead of paying repeatedly for cloud-based models.

Control: Get more hands-on control of the model, data sources and workflow.

But these are not valid for every application. Some native tools may require technical knowledge during initial setup; Some may also be slower than cloud services for certain tasks.

The Verge review also criticizes the installation of local AI agents and the process of choosing the right model. The reviewer notes that even a simple photo conversion takes longer than necessary with an unsuitable model. The Verge

Is an expensive computer necessary to try local artificial intelligence?

No. You don't necessarily need to buy a computer in this class to get started with native AI.

There are small models and light vehicles running on more modest hardware. The important thing is to check the memory and processing power requirements of the model you will use.

To get started, you can follow this path:

1. Determine your purpose. Choose which task to do, such as text summarization, encoding, image generation or audio decoding.
2. Check your hardware. Learn RAM, GPU memory and processor support.
3. Select a compatible local model. Check model size and hardware requirements.
4. Use official installation source. Avoid unknown installation files.
5. Test with a small task. Start with short text or a few images rather than a large file.
6. Monitor memory and temperature usage. Check the computer's resource consumption while the model is running.
7. Compare the result with the cloud model. Evaluate speed, quality and cost on the same task.

Who is the Surface Laptop Ultra suitable for?

May be of interest to developers, those experimenting with native models, and professionals working with large datasets.

But for basic office work, web browsing or light photo editing, such an expensive system may be unnecessary.

The Verge's review also points out shortcomings such as CPU performance, some display behavior, and audio issues. For this reason, the device should not be evaluated solely on its artificial intelligence capacity. The Verge

Quick conclusion

Local artificial intelligence can enable the computer to become a working environment that performs calculations on its own, rather than just an internet client.

But just because the hardware is powerful does not mean that the software experience will automatically be perfect.