NVIDIA expands RTX Spark laptop lineup with AI tools and game features

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NVIDIA expands RTX Spark laptops

Highlights

NVIDIA launches RTX Spark laptops with Blackwell RTX GPU and Grace CPU, offering up to 128GB unified memory and 1 petaflop FP4 AI performance for AI development and gaming.
NVIDIA introduces Nemotron 3.5 Transcribe, an open-weight speech model supporting 40 languages, on RTX Spark, DGX Spark, Jetson AGX Thor, and GeForce RTX 5090 GPUs, available today on Hugging Face.
LFM3 open models from Liquid AI, including a new 1.7-billion-parameter base model that outperforms the 2.6-billion-parameter predecessor, receive day-zero support on RTX Spark.

Platform rollout adds AI and software features

As reported by NVIDIA Blog, citing NVIDIA Newsroom, RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI, combining an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip. NVIDIA says the systems offer up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance, positioning the devices as portable Windows machines for AI development, content creation and gaming.

The company is also introducing NVIDIA Nemotron 3.5 Transcribe on RTX Spark. The open-weight speech model handles transcription, speaker attribution and translation in one promptable model, and NVIDIA says it can also answer questions about audio content while supporting 40 languages, including seven Indic languages.

NVIDIA says the model is available today on Hugging Face in BF16, FP8 and NVFP4 formats, with deployment support on RTX Spark and DGX Spark systems, Jetson AGX Thor devices and GeForce RTX 5090 GPUs. The company adds that developers can run NVFP4 versions through NeMo-Speech.cpp or vLLM, while open weights allow processing to be deployed from desktops to cloud environments.

Alongside the transcription model, NVIDIA says the LFM3 family of open models from Liquid AI is gaining day-zero support on RTX Spark. The company describes the models as compact systems for text, vision, audio, omni and decision tasks, and says Liquid AI's 1.7-billion-parameter base model outperforms its earlier 2.6-billion-parameter base model.

Our earlier coverage of the growing AI safety dialogue highlighted how governments and leading developers are weighing stronger safeguards as AI capabilities accelerate. We noted Nvidia CEO Jensen Huang’s view that cooperation with Chinese AI companies—and a broader international forum potentially involving the UK—could help coordinate responses to high-risk incidents and prevent misuse.

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