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NVIDIA details local AI hardware lineup at GTC Berlin

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

NVIDIA Blogby Gerardo Delgado ()8 min read3 · 2 reads
Part of a story covered by 6 sourcesNvidia ships Nemotron 3.5 models for enterprise and local agentsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

DGX Spark 64GB systems start shipping October 23, eight-unit clusters are supported, and Windows DGX Station is due in December.

At GTC Berlin, NVIDIA presented RTX Spark for Windows personal agents, DGX Spark for Linux developers, and DGX Station for enterprise Linux teams, with a Windows version expected in December. Underdog Desktop Agent is available now for RTX Spark and runs models on device. DGX Spark 64GB systems begin rolling out on October 23, and NVIDIA Sync will support clusters of up to eight. An October software update adds Wi-Fi Assistant, and NVIDIA Cloud Functions is coming to DGX Station in early access.

Key facts
  • RTX Spark, released October 16, offers up to 128GB of unified memory and 1 petaflop of AI compute.
  • DGX Spark 64GB is said to run Nemotron 3.5 Bolt 74B 24GB, Qwen3.8 27B, and Gemma 4 26B-A4B.
  • Eight DGX Spark units are described as providing 1TB of unified memory.
  • DGX Station offers 748GB of coherent memory and up to 20 petaflops.
  • Recursive Flint, a local coding model, is available for NVIDIA local hardware.
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From the original article

8 min read at blogs.nvidia.com

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: […]

NVIDIA Blog

By Gerardo Delgado · blogs.nvidia.com

Read the full article at NVIDIA Blog

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.