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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.
Perplexity has released Portable Computer, a version of its agentic 'Computer' platform designed to run entirely on local hardware, starting with Nvidia's DGX Spark desktop and Linux machines with RTX GPUs. The system keeps models, files, and processing on-device by default, only asking permission to route individual steps to cloud-based frontier models when needed, meaning local tasks incur no billing credits.