Over the past month, technology analysts have extensively tested several portable computing devices powered by Nvidia’s new RTX Spark platform. These tested machines include the Microsoft Surface Laptop Ultra, the HP OmniBook Ultra, and the high-end $7,000 Asus ProArt P16, which was reviewed with 128GB of unified memory. Testing covered general daily usage, modern gaming titles, and advanced local AI model processing, including everything from small language models (LLMs) to OpenAI’s large 120-billion-parameter gpt-oss model. The initial findings indicate that the laptops offer significant capabilities, particularly in artificial intelligence applications.
The Core Advantage: Unified Memory for AI Workloads
The primary distinction of RTX Spark laptops is their design focus on running complex artificial intelligence computations directly on the hardware, making them true AI PCs. This capability is rooted in their unique memory structure. Unlike traditional gaming laptops that pair a dedicated GPU with a smaller, specialized pool of ultra-fast VRAM separate from the system memory, RTX Spark integrates a 20-core Arm CPU and a powerful Blackwell GPU around one massive pool of unified memory that both components can access.
This unusual architecture allows the laptops to support substantial memory capacities, up to 128GB. The Asus ProArt 16, for instance, allowed the reviewer to allocate approximately 96GB of this memory to the GPU. This capability is highlighted when comparing the ProArt 16 to a powerful desktop setup featuring a GeForce RTX 5090. When both systems processed the demanding 120-billion-parameter gpt-oss model, the ProArt 16 completed the task by consuming 472,084 total tokens in 33 minutes and 13 seconds. Conversely, the RTX 5090 desktop required 52 minutes and 51 seconds.
Analysts note that the RTX Spark platform does not necessarily win through superior raw GPU speed; rather, its advantage lies in its massive, accessible memory pool. While the RTX 5090 offers incredibly fast 32GB of GDDR7 VRAM, the ProArt 16’s ability to handle immense, GPU-accessible memory is crucial for certain intensive research workloads.
Gaming Performance and General Use
Despite their AI specialization, the integrated Blackwell GPU is remarkably capable, especially considering it shares the package with the CPU. Testing confirmed that these laptops can play modern video games, maintaining performance that is roughly equivalent to Nvidia’s GeForce RTX 5070 discrete graphics. Furthermore, the system supports Nvidia’s full suite of RTX features, such as DLSS upscaling and frame generation, which can significantly boost frame rates in supported titles like Cyberpunk 2077.
However, if the main goal is simply high-performance gaming, analysts advise looking at conventional dedicated gaming laptops, which generally provide better performance for a lower cost, even if they are physically thicker. While RTX Spark offers a good gaming experience, the sheer amount of memory it provides is unnecessary for most games.
For day-to-day use, the laptops feel surprisingly standard. The 20 Arm CPU cores deliver excellent multicore performance, though single-core performance is less impressive. Battery life is decent—the Surface Laptop Ultra was observed providing roughly 10 hours during office work testing—but high-demand AI computing severely drains the power, with the ProArt 16 losing 46 percent of its battery charge during a 33-minute AI run.
Considerations for Potential Buyers
The platform utilizes an Arm architecture, meaning that while Windows on Arm has improved significantly with Microsoft’s Prism translation layer, compatibility issues can still arise. Some specialized software, such as versions of Adobe Premiere, may require beta versions to function correctly with the RTX Spark GPU. Therefore, prospective buyers are strongly advised to thoroughly test their specific professional software stack before making a large purchase.
Based on intensive testing, the laptops are best suited for a narrow group of users: heavy AI developers and researchers, or creative professionals who require the ability to run massive AI models locally without relying on expensive cloud computing tokens. For general consumers who simply want a fast, premium laptop, or for dedicated gamers, alternative, less expensive conventional models are recommended.
Ultimately, the RTX Spark platform represents a genuine advancement, allowing a portable computer to manage workloads that previously were considered impractical for mobile use. However, the high cost means that buyers must be able to clearly articulate why this particular level of local AI prowess is essential to their work.
