7 entries
Keyword: grace-blackwellLink:amzn.to
An Amazon listing reveals the Gigabyte AI TOP Atom, a compact 1-litre mini-PC designed for local AI workloads. The workstation is powered by the NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified memory and runs NVIDIA DGX OS.
From Video: Nvidia DGX Spark Hands-On: Setup, vLLM Serving, and Mac Studio Comparison
Link:Poolside
Poolside has launched open-weight agentic coding models. While Laguna xs 2.1 is designed for local on-device deployment, Laguna s 2.1 provides high-reasoning capabilities via desktop apps, CLI, OpenRouter, and Vercel AI Gateway.
From Video: Weekly AI Update: New Models, Agent Workflows, and Infrastructure Shifts
Link:MSI USA
MSI has introduced the EdgeXpert MS-C931, a compact desktop AI system powered by Nvidia's GB10 Grace Blackwell Superchip. The system delivers up to 1 PetaFLOP of FP4 tensor performance and features 128GB of unified memory.
From Video: Nvidia DGX Spark Hands-On: Setup, vLLM Serving, and Mac Studio Comparison
Link:NVIDIA
NVIDIA has launched the DGX Spark Developer Hub, offering playbooks and guides for running AI agent workflows on the NVIDIA GB10 Grace Blackwell Superchip. The hub features quickstarts for tools such as Open-WebUI, ComfyUI, and vLLM alongside multi-Spark networking setups.
From Video: Nvidia DGX Spark Hands-On: Setup, vLLM Serving, and Mac Studio Comparison
Article:Elite Test Engineering
A detailed technical setup report documents serving DeepSeek-V4-Flash (284B MoE) across two DGX Spark nodes powered by Grace Blackwell chips using Ray and vLLM. It highlights workarounds for unified memory monitoring, NCCL RDMA deadlocks, and CUDA graph issues, as well as a 45% speedup using native speculative decoding.
From Video: Testing DeepSeek V4 Flash on a Clustered DGX Spark and Acer GN100
VideoVideo:AIProgrammingHardware
This video details the primary open-source software repositories and workflows for NVIDIA's DGX Spark desktop AI supercomputer. Powered by the GB10 Grace Blackwell Superchip with 128 GB of unified memory, the hardware enables private local LLM inference, multi-agent setups, and model training without cloud reliance.
VideoVideo:Heavy Metal Cloud
Heavy Metal Cloud reviews the Gigabyte and ASUS Nvidia DGX Spark desktop units powered by the Grace Blackwell architecture. The video provides a step-by-step guide for local LLM serving using Docker, vLLM, and SparkRun, as well as media generation in ComfyUI, comparing real-world performance against a Mac Studio.
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