Bringing the Spark to Europe: Local Intelligence Powers the 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. Announcements include: Underdog Desktop Agent now available for RTX Spark DGX Spark 64GB available on Friday, Oct. 23 NVIDIA Sync to support eight DGX Sparks and add Model Launcher this month October DGX Spark software update adds Wi-Fi Assistant and updates DGX Spark Skills DGX Station improves manageability with seven new integrations DGX Station for Windows launches in December with support for many manufacturing apps and agent harnesses Three new open source reference workflows for robotics on DGX Station NVIDIA Cloud Functions is coming in early access to DGX Station Recursive Flint, a new local coding model, is now available for NVIDIA local hardware Day-0 support for new Nemotron, GLM, DeepSeek, Qwen, MiniMax and FLUX.3 AI models New accelerations for llama.cpp and vLLM inference engines and a new collection of checkpoints optimized for local AI hardware. Learn more about these local AI announcements below, and check out the demos and sessions at GTC Berlin . Read All NVIDIA in Europe Announcements   RTX Spark Brings Personal Agents to the Windows PC 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. Here’s what early reviewers are saying about the platform since its October 16 release: “A dream machine for serious creators … ” — CGMag “Designed for the future of AI … ” — The Verge “An extremely capable, surprisingly portable and efficient machine … ” — PCMag 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. During the GTC keynote, NVIDIA founder and CEO Jensen Huang showed off how AI agents running on RTX Spark can be used to train Hugging Face’s Microduck robot using NVIDIA Isaac Lab, Hermes Agent and Nemotron 3.5 Bolt 74B. ASUS, Dell Technologies , HP , Lenovo, Microsoft and MSI laptops are available today, with Acer coming soon. Learn more about RTX Spark , and get started with the latest RTX Spark playbooks . DGX Spark Gives Developers Room to Build New DGX Spark 64GB systems — that can run models including Nemotron 3.5 Bolt 74B 24GB, Qwen3.8 27B and Gemma 4 26B-A4B — start rolling out from partners on Friday, Oct. 23. 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. Now, DGX Spark supports clusters of up to eight units in manual configuration, enabling larger models, longer contexts, concurrent agents and distributed development. Ideal for small teams sharing a single cluster as a backend, with each developer running concurrent sessions against the same model, it delivers 1TB of unified memory — enough to run frontier-class models like GLM 5.3. Get started with the DGX Spark cluster playbook . 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. DGX Spark systems are available directly from Acer , ASUS , Dell Technologies , GIGABYTE , HP , Lenovo, MSI and NVIDIA. DGX Station Puts Frontier Intelligence at the Desk For larger teams, DGX Station offers 748GB of coherent memory and up to 20 petaflops of AI performance, enabling developers to run advanced models like GLM 5.3 and serve 30+ users at speeds comparable to those provided by cloud models. Adding scale, NVIDIA Sync now supports DGX Station, simplifying connections between two Linux-based systems. New integrations with Absolute Security , Splunk by Cisco , Fleet Device Managemen t , Microsoft Intune , Perforce Puppet , Progress Software Chef and Tanium let IT teams manage DGX Station systems through enterprise setup, management and conformity processes, helping accelerate approvals and reduce deployment risk while minimizing time to first token. With the upcoming Windows-based systems, developers can build workflows that harness professional applications, run on NVIDIA RTX PRO GPUs and operate from agents that run their large language models (LLMs) on NVIDIA GB300 systems — all in one machine. DGX Station for Windows , expected from system manufacturer partners in December, extends local AI into the applications and operating environment enterprises already use. Engineers can run local models and agents in Windows-native software with access to AI models, tools and agents on the same system. 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. The same local, controlled computing model extends to robotics. DGX Station gives robotics teams dedicated compute for post-training, simulation and evaluation, shortening iteration cycles without waiting for shared infrastructure. 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. NVIDIA Cloud Functions is coming in early access to Linux-based DGX Station. Teams can register local model endpoints in a shared catalog and access them through one OpenAI-compatible entry point. Developers can upgrade the model behind an endpoint without changing application code, while teammates can use shared models without direct machine access. This turns a DGX Station into a locally controlled inference service for a team. DGX Station brings local iteration to AI factory development. On the show floor at GTC Berlin, NVIDIA is previewing DSX OS running on DGX Station to simulate AI factory operations before full infrastructure is available. Another demo will showcase DGX Station systems powering a local token factory for more than 30 software developers. DGX Station systems are shipping today from ASUS , Dell Technologies , GIGABYTE , HP , MSI , Supermicro and Exxact . DGX Station for Windows systems are expected to begin shipping later this year from ASUS , Dell Technologies , GIGABYTE , HP , MSI and Supermicro . Introducing Recursive Flint — A New Local Coding Model Optimized for RTX Spark Today, frontier AI lab Recursive Superintelligence released Recursive Flint, a local LLM b