Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents

At GTC Berlin, NVIDIA is showcasing its full lineup of local AI hardware. RTX Spark , which launched last week , powers personal agents on Windows PCs; DGX Spark supports developers building and scaling applications on Linux; and DGX Station serves enterprise teams running frontier workloads on Linux, with a Windows version arriving in December.

Learn more about these local AI announcements below, and check out the demos and sessions at GTC Berlin .

RTX Spark is a new beginning for the PC — running personal agents, accelerated content creation and 1440p 100 frames-per-second gaming with up to 128GB of unified memory and 1 petaflop of AI compute.

NVIDIA released three open source reference workflows that bring GPT-6 Astra, NVIDIA Isaac Lab, Isaac Lab-Arena and Cosmos to NVIDIA DGX Station. Developers can use them to refine GR00T 1.7 models with reinforcement learning, train dexterous manipulation skills and post-train Cosmos world models for synthetic data generation.

Today, frontier AI lab Recursive Superintelligence released Recursive Flint , a local LLM built for fast, accurate coding. A 40-billion-parameter mixture-of-experts model with 2.5 billion active parameters, Recursive Flint delivers fast inference and performs well in agentic coding benchmarks like S WE-Bench Pro v2, Terminal-Bench 2.1 and SWE-bench verified.

Recursive Flint was built using Recursive’s Eureka Machine, a system for large-scale automated AI research. It automates the full research loop: proposes ideas, implements them, runs experiments to validate ideas and uses the results to decide what to try next — creating specialized kernels that boosted Flint’s generation speed on RTX Spark by 55% without changing the model’s weights.

Developers can download the open weights on Hugging Face under the Apache 2.0 license and run the model on RTX Spark and DGX Spark systems, as well as GeForce RTX and RTX PRO GPUs. Developers can also post-train the model with NeMo Automodel for supervised fine-tuning and low-rank adaptation, or LoRa, as well as NeMo RL for group relative policy optimization.

When workloads require more capacity, developers can connect multiple DGX Spark systems via built-in NVIDIA ConnectX-7 networking and NVIDIA Sync Cluster Assistant . This allows users to run advanced coding models like Qwen 3.8 Flash Next, DeepSeek v4 Flash 0731 and GLM 5.3 Flash.

NVIDIA Sync Model Launcher will also be available later this month. It simplifies access to local AI on a single DGX Spark or a cluster. With a few clicks, Model Launcher downloads a model and container suited to the configuration and connects the model to OpenCode. It automatically loads DGX Spark Skills for troubleshooting, device maintenance, access to official documentation and other workflow guidance.

The October DGX Spark software update brings a new Wi-Fi Assistant that lets users switch networks when DGX Spark is running in appliance mode. Plus, DGX Spark Skills provide workflow-focused guidance in troubleshooting and device maintenance directly into NVIDIA Sync via OpenCode.

ASUS, Dell Technologies , HP , Lenovo, Microsoft and MSI laptops are available today, with Acer coming soon.

DGX Station for Windows will feature support for manufacturing applications from nTop , Dassault Systèmes , Keysight Technologies , MathWorks , Rockwell Automation , Siemens , Synopsys , Unity and Altera for AI-guided design, simulation, validation and engineering automation. Users will be able to run agents using Hermes Agent , Perplexity or Aible on premises for agentic control in enterprise environments.

NVIDIA is also adding day-zero model support for NVIDIA Nemotron Bolt E4B 4B, GLM, DeepSeek, Qwen, MiniMax, Liquid AI’s LFM2.5-24B-A2B, plus the FLUX.3 Klein diffusion model.

Here’s what early reviewers are saying about the platform since its October 16 release:

Underdog , a new desktop agent app built for fully local, private AI, is also bringing its experience to RTX Spark. Powered by its Husky model-specific inference engine, Underdog runs models entirely on device, so personal agents can get work done without user data ever leaving the PC. Underdog is available now for download .

To better enable developers and enthusiasts to build and customize local agents, many RTX Spark laptops come with an unlocked bootloader.