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NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games

NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games

NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI.

These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. That puts the NVIDIA CUDA platform, RTX graphics and the capabilities of a personal AI supercomputer inside premium Windows laptops built to go anywhere. New and expected RTX Spark updates, coming soon, include: NVIDIA Nemotron 3.5 Transcribe, an open weight speech model for transcription, speaker attribution and translation is available on RTX Spark.  The LFM3 family of open models with day-zero support.  Resource management controls in NVIDIA App to allocate GPU resources between foreground apps and background agents. Phantom Blade Zero, S-GAME’s highly-anticipated action role-playing game, launches with ray tracing and NVIDIA DLSS 4.5. Experience Minecraft with path tracing and DLSS with RTX Remix1.6, available now for RTX Spark. Turn Recorded Audio Into Useful Information With NVIDIA Nemotron 3.5 Transcribe Introduced today, NVIDIA Nemotron 3.5 Transcribe is a new, open weight speech model that turns recorded conversations into useful information. Instead of needing multiple models for transcription, speaker labels and translation, developers can use one promptable model that handles all three, plus questions about the audio. It transcribes 40 languages, including seven Indic languages. Developers guide the model with plain-language prompts. For example, for a single recorded meeting, users can ask it to: “Transcribe this recording and label each speaker.” “Translate this audio into English.” “List what decisions were made in this meeting.” Prompts can also include product terms and formatting conventions, which helps the model handle specialized vocabulary in fields like healthcare, financial services and customer service. Because the weights are open, developers can choose where audio is processed, from a desktop to the cloud. Nemotron 3.5 Transcribe ranks No. 1 on the Hugging Face Open ASR and No. 2 among open weight models on Artificial Analysis — delivering leading accuracy with approximately 4.3 billion active parameters, 80% fewer than the No. 1 open weight model, making high-quality, intelligent transcription more practical on local hardware.