At Computex 2026 in Taipei, NVIDIA invited the press to a hands-on walkthrough of the RTX Spark platform, spread across multiple rooms covering gaming, creator, and AI workloads. Everything ran on Microsoft Surface Laptops, and Microsoft was also present—a clear signal that Redmond is fully committed to making Windows on Arm succeed this time around. Microsoft revealed that it has made several kernel-level optimizations to Windows 11 specifically for RTX Spark, changes that notably were never made for Qualcomm's Snapdragon platforms.

At the heart of RTX Spark is the NVIDIA N1X chip, which pairs a 20-core NVIDIA Grace Arm-based CPU with a Blackwell RTX GPU packing 6,144 CUDA cores and 5th Generation Tensor Cores with FP4 math precision, all connected via NVLink-C2C. The chip supports up to 128 GB of LPDDR5X unified memory in a 45-80 W power envelope (H-segment), and NVIDIA claims up to 1 petaFLOP/s of AI compute. A lower-end N1 variant with 5,120 CUDA cores is also planned. RTX Spark is not strictly a laptop platform either—NVIDIA also showed compact desktop mini PCs and the DGX Spark, targeting creators and developers who want the same silicon in a stationary form factor. And, looking at that power envelope, I wouldn't be surprised if N1X (or a variant) eventually ends up in a handheld gaming console—it just makes a lot of sense. A chip like this could also compete with semi-custom AMD chips for the next Xbox or PlayStation.

NVIDIA in its interactions with the press at Computex 2026 says that it has secured enough supply of the 3 nm N1X silicon from TSMC to ensure robust growth of the RTX Spark processor in the PC industry. The company sees RTX Spark not as a niche product for power users and AI developers—for which it has the purpose-built DGX Spark—but it wants to win across all mainstream and performance segments of the PC market. The RTX Spark will be differentiated in many product models ranging from the entry-level to the top-spec part shown at Computex.

At Computex, NVIDIA also said that it is already working on the 2nd- and 3rd generations of the silicon behind the RTX Spark—the N2X and N3X, implementing future process nodes, and tapping into future microarchitectures. These could be the reported "Vera" CPU and "Rubin" graphics/compute, and the future "Feynman" graphics/compute. It took over 3 years of sustained co-development with Microsoft for NVIDIA to enter the PC market, and the company is here to stay.

NVIDIA today announced the introduction of 2nd Generation Ray Reconstruction, a component of DLSS 4.5. When it debuted in 2023 as part of the DLSS 3.5 update, Ray Reconstruction addressed a key image quality problem where ray traced shadows, and reflections appeared inaccurate when subjected to DLSS 2 super resolution. In 2025, NVIDIA updated the older convoluted neural networks (CNN) based AI model with a newer transformer based model. Later that year, when NVIDIA introduced the DLSS 4.5 feature-set with 2nd Gen transformer models trained on larger sets of data, Ray Reconstruction didn't get updated. The company completed the DLSS 4.5 feature-set with new Ray Reconstruction feature. Besides a 2nd Gen transformer model trained on a larger volume of data, DLSS 4.5 RR introduces a more efficient AI denoiser, and greater spatial awareness for lighting accuracy.

NVIDIA today announced what is arguably its most important product of the year, one that—if done right—could help it break into the consumer PC processor market. NVIDIA envisions a change in the PC user interface paradigm. For over 40 years, the PC human interface contract involved you interacting with software through their toolbars, dialog boxes, and work areas, to get work done. NVIDIA sees AI agents fundamentally change the way consumers interact with PCs. Imagine you opened up Photoshop, and instead of manually running a complex workflow, simply prompted it your agent, and it did the rest. NVIDIA thinks the processor of the future should be able to not just run your applications, perform its core function as a general purpose CPU, but also run large AI models and agents entirely locally, while also fulfilling consumer-segment needs as an entertainment and gaming powerhouse. Enter, the NVIDIA RTX Spark.