I witnessed Nvidia RTX Spark in action, and it seems that Windows PCs might finally experience their own Apple Silicon Moment.

      Windows laptops have been striving to emulate the success Apple achieved years ago with its M-series chips. In 2020, Apple introduced a new series of MacBooks powered by silicon that appeared to be significantly advanced in terms of efficiency, integration, and performance. This system was designed around the hardware, rather than simply functioning on top of it.

      At Computex 2026, Nvidia's RTX Spark emerged as one of the most compelling responses Windows has produced in years. I had the opportunity to explore Nvidia’s exhibit at the event, and Spark was undoubtedly one of the highlights. During the demonstration, I got a detailed look at the RTX Spark as it managed video editing, local AI tasks, gaming, and other intensive workflows. It quickly became clear that this was more than just another laptop chip announcement.

      Beyond just an AI PC label

      Varun Mirchandani / Digital Trends

      The term AI PC has been so overused that it has begun to sound like an internet cliche. Every "next-gen" laptop seems to feature an NPU to promote AI, which appears more like a marketing gimmick than something practical for many users. In contrast, Spark is approaching things differently, focusing on the kinds of workloads that are integral to Nvidia’s ecosystem. Consequently, CUDA, RTX, DLSS, G-Sync, local AI processing, and GPU-driven creative work have taken precedence.

      Examining the specifications, RTX Spark is impressive. It boasts a 20-core Grace CPU paired with a Blackwell RTX GPU, 6,144 CUDA cores, up to 128GB of unified memory, and up to 1 petaflop of AI performance. This configuration translates to a single processor capable of handling a wide range of tasks.

      The comparison to Apple Silicon is clear

      When Apple transitioned its Macs to its own silicon, the significant boosts in performance and efficiency were remarkable, but regaining control over the entire system was an even larger achievement. Apple integrated the CPU, GPU, memory architecture, operating system, and software stack to work cohesively. The ecosystem became more unified, no longer reliant on Intel.

      Vikhyaat Vivek / Digital Trends

      The switch to M1 sparked a new race among PCs. MacBooks not only became more powerful but also excelled in power efficiency. This is an area where Windows laptops found it challenging to compete. While they had plenty of raw power and, in some respects, greater flexibility than Macs, they often appeared disjointed. Chip manufacturers, laptop makers, and software developers were all separate entities. Even the best chips could lead to a poor user experience if the platform was not well-optimized.

      Additionally, performance often varied widely based on thermal designs, drivers, battery settings, and, crucially, vendor tuning. While Nvidia cannot exert the same control over Windows as Apple does with macOS, it has partnered with Microsoft to create a true flagship Windows device, the Microsoft Surface Laptop Ultra. This collaboration allows Nvidia to build a high-performance platform with a more reliable foundation.

      Nvidia’s RTX Spark Showcase

      Vikhyaat Vivek / Digital Trends

      From the beginning, Nvidia was keen to highlight the effort behind this “superchip.” The showcase encompassed nearly every conceivable use case. Nvidia demonstrated the chip managing creative workflows, local AI agents, intensive AAA gaming, and much more. The video editing demonstration was particularly telling, featuring Spark utilizing generative AI tools within a video workflow, enabling editors to make changes using natural language prompts rather than navigating through complex timelines and menus.

      The goal was to automate some repetitive tasks that can slow down the editing process. For those who spend considerable time cutting footage, organizing clips, and making minor modifications, this stood out as one of the most practical AI demonstrations at Computex. A significant part of the effectiveness stems from the hardware itself. Spark's combination of Blackwell graphics, expansive unified memory, and local AI processing allows these tools to operate directly on the machine, reducing dependence on cloud services.

      Vikhyaat Vivek / Digital Trends

      The focus on local AI agents was another key aspect. Nvidia showcased systems capable of running advanced AI models on the device, performing tasks that would typically require remote servers. If AI is to become a tool for everyday workflows, local performance like this could prove just as crucial as raw benchmark scores.

      Gaming, unsurprisingly, was another focal point. Nvidia maintains an ecosystem advantage that Apple has struggled to match, thanks to RTX technologies, DLSS, Reflex, and strong support across the PC gaming market. Both native games and those running through emulation demonstrated smooth performance. Actual performance metrics remain undefined, but the presentation appeared encouraging.

      Windows must align with Nvidia's efforts

      Fortnite on NVIDIA RTX Spark Laptop Varun Mirchandani / Digital Trends

      Spark is promising, but it's not a guarantee of an Apple Silicon-like success solely because the hardware looks impressive. Apple’s significant advantage came from its control over the entire stack. For Spark to truly shine