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AI creator Nick Saraev reported that Amazon shut down his account after he attempted to order seven Nvidia DGX Spark mini-PCs, with four orders canceled and no charges applied. Amazon's email cited a prior verification process but gave no specific reason for the closure. Epic Games CEO Tim Sweeney separately said Amazon kept accepting his orders for two Nvidia GPUs, only to cancel them shortly before delivery.
A new Entrepreneur analysis compares three local AI hardware options for developers: NVIDIA's DGX Spark, built on 128GB unified memory and the Grace Blackwell GB10 chip, offers the most mature CUDA-based software compatibility but has slower memory bandwidth at 273 GB/s. The piece frames local AI machines as tools for data privacy, cost control and predictable performance rather than replacements for cloud-based large-scale training.
Nvidia introduced Nemotron 3.5 Super VL, a 120-billion-parameter open-weight model aimed at enterprise agent deployments, alongside two smaller Bolt models built to run locally on new RTX Spark and DGX Spark hardware. Nvidia says Super VL matches the accuracy of its larger Nemotron 3 Ultra model while completing agentic tasks faster than rival models from Anthropic and OpenAI, and lists companies including Skydance, EY, Ramp, Crowdstrike, Perplexity and Salesforce as users.
Sipeed has announced the MaixStation, an AI workstation built around Axera's new AX8860P chip, featuring 128GB of LPDDR5X memory on a 256-bit bus at 273 GB/s. Sipeed told Tom's Hardware Premium it expects the 128GB model to launch around $3,999 with Kickstarter discounts, undercutting Nvidia's DGX Spark ($6,950) while matching AMD's 128GB Ryzen AI Halo. Sign-ups are open now ahead of a Kickstarter campaign planned for late 2026, with shipping expected within three months of the campaign closing.
Microsoft is expected to reveal pricing and a release date for its Surface Laptop Ultra at an upcoming event, according to the report. The laptop, first shown in June, is among the first devices to use NVIDIA's new RTX Spark chip, an Arm-based processor built for running large AI models locally, and features a 15-inch mini-LED display with up to 2,000 nits of brightness.
Nvidia and partners including Acer, Asus, Dell, Gigabyte, HP and MSI will release a 64GB version of the GB10-based DGX Spark system on October 23, priced from $4,999. The new tier sits alongside the existing 128GB configuration, which currently sells for roughly $7,000 to $9,000 due to memory shortages.
Tom's Hardware reviewed Apple's new Mac Studio built around the M5 Ultra chip, which now serves as Apple's top desktop after the Mac Pro's discontinuation. The tested configuration, priced at $12,299 with 256GB of unified memory and 4TB storage, outperformed rivals like Nvidia's DGX Spark and AMD Threadripper systems when running AI models locally, while the base M5 Max model starts at $2,499.
Tom's Hardware Premium's weekly roundup details extensive benchmarking of the Qwen 3.8 27B language model on consumer-accessible hardware, including an RTX 5090, Mac Mini, DGX Spark and Strix Halo systems, showing it can approach top-tier AI performance without cloud API costs. The issue also covers IFA show reports noting a market split between ultra-light MacBook-style laptops and pricey agentic AI PCs, squeezing out affordable mid-range machines, plus a note on Ajinomoto's role in supplying materials for the chip industry.
Nvidia has launched Personal AI Router (PAIR), open-source software that links RTX gaming GPUs, DGX Spark machines and Macs into a single local AI cluster without special cables or rack hardware. The tool works with existing local inference backends like Ollama and LM Studio, distributing chatbot and agent workloads across idle machines on a home or small-office network.
Nvidia has released PAIR, a free open-source beta tool that connects compatible devices on a home network to pool their unused processing power for local AI inference and agentic tasks. It works with GeForce RTX 20-series and newer GPUs, RTX Pro cards, DGX Spark systems, and Apple M4 or later chips, running on Windows, Linux, and macOS.
At IFA 2026, NVIDIA unveiled Personal AI Router (PAIR), a free, open-source beta tool that detects idle PCs on a home network and routes AI subagent tasks to them instead of overloading a single GPU. This lets multi-step AI agent jobs, like sorting an inbox, run faster by spreading the workload across multiple machines while the main PC stays free for gaming or work.
Nvidia has released Personal AI Router (PAIR), a free open-source tool that finds compatible computers on a home network and links them together to run local AI inference tasks through apps like Ollama and LM Studio. It supports Nvidia RTX 20-series and newer GPUs, RTX Pro and DGX Spark systems, plus Apple M4 chips or later, and only taps machines when they're idle so it doesn't interfere with other use.