Thin, Light and Built for Everything: 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.

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.

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.

Liquid AI’s LFM3 provides a new generation of Liquid Foundation Models designed for specialized tasks. The family spans text, vision, audio, omni and decision models built on one shared backbone, with base and post-trained models available as open weights. The models are compact and fast: Liquid AI’s new 1.7-billion-parameter base model outperforms its previous 2.6-billion-parameter base model.

🖼️Black Forest Labs’ FLUX 3 Image Klein is a 5.6-billion-parameter open weights model that lets users generate and edit images locally. NVIDIA-optimized versions run on RTX GPUs with as little as 8GB of VRAM. Developers can also fine-tune the model on RTX Spark using an NVIDIA NeMo AutoModel recipe to customize it for specific creative workflows.

It’s available today on Hugging Face in the BF16, FP8 and NVFP4 formats, and offers flexible deployment options for developers with support on NVIDIA RTX Spark and DGX Spark systems, Jetson AGX Thor devices and GeForce RTX 5090 GPUs. Developers can deploy NVFP4 versions through NeMo-Speech.cpp or vLLM.

Developers can run LFM3 models on RTX Spark with native support through llama.cpp and vLLM, and fine-tune the models locally.

RTX Remix 1.6 also makes AI-powered modding simpler. A redesigned ComfyUI workflow lets modders generate physically based materials directly inside RTX Remix, with no application programming interface setup, batch processing for full projects and presets for less technical creators. Plus, with NVIDIA agent skills, compatible AI agents can work directly with RTX Remix to help speed up remastering projects.

These models support local workflows such as agents running in Hermes Agent, Pi and OpenClaw to triage inboxes and manage calendars, read documents and app screens, transcribe and translate speech, answer spoken questions about handwritten math, and route support tickets or voice requests.

The update also adds DLSS 5 with 3D-Guided Neural Rendering, up to 6x Multi Frame Generation, native RTX Spark support and agent-assisted workflows. Starting today, those upgrades come to Portal with RTX and the Half-Life 2 RTX demo. Both now support RTX Spark, with DLSS 3D-Guided Neural Rendering for more lifelike lighting and materials, a new Performance Mode for DLSS Frame Generation and new options that speed up path tracing.

RTX Spark laptops come in a range of designs, so users can choose one that fits how they work and play. Options include different screen sizes, colors, touchscreens, pen support and two-in-one convertibles. RTX Spark laptops are as thin as 14mm and as light as three pounds, with all-day battery life.

Developers guide the model with plain-language prompts. For example, for a single recorded meeting, users can ask it to:

On RTX Spark, users can have long-running agents working alongside their favorite applications. Both share the system’s GPU compute, and the right balance of resources depends on what matters to users at that moment.

With the new resource management feature in NVIDIA App , users can now choose how GPU resources are shared. They can prioritize their foreground app for the best performance, or give their background-running agent more resources to get work done faster.