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 Announcements include: Underdog Desktop Agent now available for RTX Spark DGX Spark 64GB available on Friday, Oct
Details
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
Context
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
Impact
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
What's Next
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 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
Background
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
Analysis
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
More
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
