Nvidia CEO Jensen Huang announced plans for two additional generations of RTX Spark chips, named N2X and N3X, at Computex 2026 [1, 2].
These developments represent an effort to bridge the gap between current hardware and the highly advanced artificial intelligence seen in science fiction. By expanding the RTX Spark roadmap, Nvidia aims to create computing capabilities comparable to the systems depicted in Star Trek and Star Wars [1, 2].
The announcement took place during the Computex 2026 event in Taipei, Taiwan [1, 2]. Huang said the company has a strategy to scale the hardware to meet diverse user needs. According to company plans, the RTX Spark family will scale its memory capacity from 128 GB of RAM down to as little as 16 GB [1].
This range of memory options suggests a strategy to bring advanced AI processing to a wider variety of devices, from high-end workstations to smaller, more efficient consumer electronics. The N2X and N3X generations will serve as the foundation for this expansion [2].
While the company is targeting a specific level of futuristic utility, the hardware must first overcome current physical and thermal constraints. The roadmap for these two generations indicates a long-term commitment to evolving the architecture of AI chips beyond current standards [2].
“Nvidia announced plans for two additional generations of RTX Spark chips, named N2X and N3X”
Nvidia is attempting to shift the benchmark for AI hardware from incremental performance gains to a conceptual goal of 'sentient-style' computing. By diversifying RAM capacities across the N2X and N3X lines, the company is positioning itself to dominate both the enterprise and consumer edges of the AI market, ensuring that the infrastructure for next-generation AI is proprietary to their ecosystem.
