RTX Spark coverage from across the web.
A curated, dated feed of announcements, reviews, and deep-dives on NVIDIA RTX / DGX Spark hardware and the broader agentic AI PC category.
Linux kernel 6.13 lands GB10 / Grace-Blackwell SoC support
Open-kernel driver path for DGX Spark units — including DRM and unified-memory paging.
Read on Phoronix →Running Qwen3-Coder-32B on DGX Spark with vLLM 0.6
End-to-end recipe: GGUF vs. AWQ, KV-cache sizing for 32k context, and tool-calling latency.
Read on Hugging Face Blog →MSI EdgeXpert GB10 desktop tops 1 PFLOP sustained
Highest sustained TFLOPS we've measured in the registry — full 600 GB/s effective bandwidth.
Read on MSI Newsroom →Dell Pro Max with GB10 — the first OEM DGX Spark we tested
Dell's workstation-cooled variant sustains higher clocks than the reference design under 24/7 agent loads.
Read on ServeTheHome →Lenovo ThinkStation P3 GB10 brings DGX Spark to enterprise IT
Enterprise firmware cadence, signed boot, and Lenovo-managed driver branches for fleet deployments.
Read on Lenovo News →Nvidia's DGX Spark Is an Earthquake for the PC Industry
Opinion: agentic AI PCs reshape the laptop/desktop landscape and squeeze cloud-only inference economics.
Read on PCMag →ASUS Ascent GX10 — a thin-and-light Spark for developers on the go
32 GB unified-memory laptop variant focused on mobile dev / 7B–13B models.
Read on ASUS Newsroom →HP introduces Z GB10 desktop for local AI development
HP's headless GB10 node — designed to rack in 2–8 node clusters with 10 GbE.
Read on HP Press →Hands-on with DGX Spark: GB10, 128 GB LPDDR5X, and a real 1 PFLOP
Memory bandwidth, sustained thermals, and first 70B token/sec measurements on the reference unit.
Read on AnandTech →Nvidia's DGX Spark is a $3,999 desktop AI supercomputer
First-look at the reference DGX Spark mini-PC — Grace-Blackwell GB10, 128 GB unified memory, ConnectX-7 networking.
Read on The Verge →Nvidia's $4,000 DGX Spark is a tiny desktop with data-center DNA
Why a unified-memory mini-PC matters for local inference vs. discrete GPU rigs.
Read on Ars Technica →Accelerating LLMs With llama.cpp on NVIDIA RTX Systems
Tuning guide for llama.cpp on RTX and DGX Spark — CUDA graphs, flash attention, and Q4 quantization throughput numbers.
Read on NVIDIA Developer Blog →Run Local AI Agents With Faster Models and Multi-Node Clustering on NVIDIA DGX Spark
NVIDIA details how DGX Spark hosts 70B-class models locally and clusters two nodes over ConnectX-7 to run 405B Llama variants.
Read on NVIDIA Blog →Nvidia launches DGX Spark 'world's smallest AI supercomputer' for $3,999
Specs deep-dive and pricing across OEM variants. Petaflop-class FP4 throughput in a 1.2 L chassis.
Read on Tom's Hardware →