DGX Spark is NVIDIA's local AI workstation for Linux developers, built on the GB10 Grace Blackwell Superchip with unified memory and support for models up to 100 billion parameters. Recent coverage has centered on the 64GB model's launch and pricing complaints, since it costs nearly as much as the 128GB version listed at $6,950. Users have also run Fish Drama 3, Nemotron and Bolt models on it and built multi-node clusters.
Community debates what counts as quality-neutral inferenceA Reddit user cites NVIDIA Ling-3.0-flash results on one DGX Spark: GSM8K fell from 96.89% to 96.82% over 1,319 questions. The optimized setup combines a changed MoE backend, an FP8 output head and NEXTN speculative decoding, and the poster asks what evidence suffices to claim no meaningful quality regression.
NVIDIA showcases local AI hardware lineup at GTC BerlinAt GTC Berlin, NVIDIA showed its local AI hardware lineup: RTX Spark for Windows PCs, DGX Spark for Linux developers and DGX Station for enterprises. DGX Spark 64GB ships Oct. 23 and a Windows DGX Station arrives in December. NVIDIA Sync will support eight DGX Sparks, with day-0 support for new Nemotron, GLM, DeepSeek, Qwen and other models.
Nvidia unveils open agent models for enterprise and PCsNvidia released open-weight models for enterprise agents and edge computing, including the 120B-parameter Nemotron 3.5 Super VL, which it says matches the larger Nemotron 3 Ultra on instruction-following and tool use. Two lightweight Bolt models run locally on RTX Spark AI PCs and DGX Spark workstations. Nvidia claims Super VL, after post-training on specific agentic tasks, completes them faster than rival models from Anthropic and OpenAI.
HP lists 128GB RAM RTX Spark laptop at $3,832HP is selling a new RTX Spark laptop with 128GB RAM for $3,832.49 after a 25% coupon, down from $5,109.99. The post frames it as an alternative for those who missed getting DGX Sparks under $4,000.
Fish releases Drama 3 35B3A text-to-speech modelFish released Drama 3, a 35B3A MoE text-to-speech model that runs on a DGX Spark, with 4-bit quants closely matching the original. It is available on Hugging Face Space and for local download.
Sipeed announces MaixStation, comparable to Strix Halo and DGX SparkSipeed has announced MaixStation, positioned as comparable to AMD's Strix Halo and Nvidia's DGX Spark. The news comes via Reddit's LocalLLaMA community, with specifications and availability not yet disclosed.
User slams 64GB DGX Spark priced same as 128GB modelA Reddit user criticized Nvidia for selling a 64GB DGX Spark at nearly the same price as the 128GB version, calling it a diluted 'stepped-on' product.
From one 3090 to 20 DGX Sparks for local LLMsA user on r/LocalLLaMA recounts scaling local LLM hardware from a single RTX 3090 to 16-GPU rigs and finally multiple ASUS GB10 (DGX Spark) nodes, running a 397B model in FP8 with 20% speedup and posting the first 8-node Spark setup on NVIDIA's forum.
64GB DGX Spark launched; 128GB model priced at $6,950According to r/LocalLLaMA, a new 64GB DGX Spark has launched, while the original 128GB model now carries a significantly higher price of $6,950.
NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AINVIDIA will offer a 64GB unified-memory DGX Spark this month through Acer, ASUS, Dell, Gigabyte, HP and MSI, keeping the GB10 Grace Blackwell Superchip, DGX OS and full AI software stack, and supporting up to 100-billion-parameter models on device. Two units can cluster via Sync Cluster Assistant, delivering up to 1.7x performance on NVIDIA's Qwen 3.8 27B test.
Four AI Models Tested on Doom Control BenchmarkAn experiment let Jev, Laya, finetuned ModernCE and finetuned Qwen3.5-4B play ViZDoom autonomously, comparing kills, survival time and latency. Finetuned Qwen3.5-4B averaged 3.63 kills, the best, while Jev survived 5.63s on average with p95 latency near 200ms. No model received Doom-specific training.
Manchester uses NVIDIA Earth-2 to forecast UK air pollutionThe University of Manchester worked with NVIDIA to train Earth-2 generative downscaling models on the UK supercomputer Isambard-AI to forecast nationwide air pollution, producing time-dependent pollution fields without expensive chemistry-based models. The work shows Earth-2 CorrDiff and StormCast can generate scenarios for policy-relevant air quality forecasting and observational assimilation.
The A.I. Daily