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. 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 Management, 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 manufacturin

LINK:	https://blogs.nvidia.com/blog/local-ai-gtc-rtx-dgx-spark-station-sync/...
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