NVIDIA Expands RTX Spark Laptop Lineup With Speech Model, GPU Priority Control and Games
Laptop buyers gain a choice over whether foreground apps or background agents get GPU resources, alongside a new open speech model that covers 40 languages.
NVIDIA has rolled out a new set of RTX Spark Windows laptops from ASUS, Dell, HP, Lenovo, Microsoft and MSI, built around a single chip that pairs a Blackwell RTX GPU with a Grace CPU and offers as much as 128GB of shared memory. Alongside the hardware, NVIDIA introduced Nemotron 3.5 Transcribe, an open weight speech model that handles transcription, speaker labelling and translation through one promptable interface across 40 languages, including seven Indic languages. The company also added a resource control in its App that lets users decide whether the foreground application or a background agent gets priority for GPU compute. Liquid AI's LFM3 family of open models launches with day-zero support on RTX Spark, and S-GAME's Phantom Blade Zero arrives on October 28 with ray tracing and DLSS 4.5. Finally, RTX Remix 1.6 brings path-traced Minecraft Java Edition 1.21.1 and newer DLSS features to Portal with RTX and the Half-Life 2 RTX demo.
Why it matters
For people who use Windows laptops day to day, the new RTX Spark machines and NVIDIA App control mean that a background AI agent no longer has to slow down the application in front of them unless the user allows it. The open Nemotron 3.5 Transcribe model handles transcription, speaker labels and translation in one interface across 40 languages, including seven Indic languages, which widens access to speech tools beyond English-first products. Together these point to AI tasks running locally on consumer hardware, with the user holding the setting that decides which work takes priority.
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