Microsoft’s product page for the Surface Laptop Ultra shows that the RTX Spark, 128GB Unified Memory, and 1TB SSD configuration priced at $5,899.99 is already listed as out of stock. While the lower-tier options are up for grabs, this indicates that the sale may partly reflect a limited initial supply, but this is unconfirmed as Microsoft has not shared any data. However, the demand behind these RTX Spark laptops makes sense when you consider that these machines are tailor-made for a broader user base and have a lot to do with CUDA support.
NVIDIA’s comprehensive software stack, capable of handling a multitude of workloads, is one of the main factors why RTX Spark laptops are gaining popularity.
With Unified Memory Architecture (UMA) combined with NVIDIA’s RTX platform and full CUDA support, developers and creators already tied to heavy workflows will find machines like the Surface Laptop Ultra incredibly useful. Most AI frameworks, inference engines, and creative tools are written and optimized for CUDA first, so buyers can run their existing software stack without looking for workarounds.
Sure, rival platforms like AMD’s Ryzen AI MAX 400 can offer large memory pools of up to 192GB, but few can match this software compatibility. For professionals, time wasted on tools costs more than spending a small fortune on high-end equipment. Previously, NVIDIA’s fastest consumer GPU came with 32GB of VRAM. With the RTX Spark, this memory number has reached 128 GB and is dynamically shared between the CPU and GPU.
NVIDIA claimed it was possible to run 120 billion AI models with up to a million context windows, making RTX Spark laptops incredibly attractive to developers, researchers, and businesses processing sensitive data who want to run large models privately and avoid recurring cloud costs. Since the top configuration of the Surface Laptop Ultra offers this unified memory headroom, it explains why it was the one that sold first.
That’s not to say there aren’t tradeoffs with RTX Spark laptops, the most glaring being memory bandwidth. At just 273 GB/s, the Surface Laptop Ultra pales in comparison to something like the MacBook Pro M5 Max, which, with the same 128 GB of unified RAM, has a whopping 614 GB/s of bandwidth, which can make a difference in workloads based on increased throughput.
For example, the laptop version of the RTX 5090 hands down beats the M5 Max in terms of fast processing and token generation with a performance increase of up to 133% in LLM tests thanks to its 896 GB/s memory bandwidth. Unfortunately, it fails to run the densest models thanks to its limitation of 24GB of GDDR7 VRAM. This is where the RTX Spark shines, with NVIDIA’s CUDA ecosystem locking in a plethora of users.
We contacted Microsoft and asked when stock of the high-end model would be restocked. We will therefore keep potential customers informed of the latest developments.
About the author: Omar Sohail is a journalist and analyst for Wccftech’s mobile section, specializing in mobile industry technology and business. His expertise lies in the complex computer hardware supply chain, spanning developments in semiconductor manufacturing, chip lithography and camera sensor technology.
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