{
  "id": 16518138,
  "title": "This crowdfunded $109 hub wants to pool the RAM in your old PCs, Macs, and phones to run bigger AI models — but the engine underneath is software you can already get for free",
  "url": "https://urgent.news/2026/10/25/this-crowdfunded-109-hub-wants-to-pool-the-ram-in-your-old-pcs-macs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-25T19:30:00.000Z",
  "source": {
    "name": "TechRadar",
    "slug": "techradar",
    "url": "https://www.techradar.com/pro/this-crowdfunded-usd109-hub-wants-to-pool-the-ram-in-your-old-pcs-macs-and-phones-to-run-bigger-ai-models-but-the-engine-underneath-is-software-you-can-already-get-for-free"
  },
  "original_language": "en",
  "account": "TradeMAV's RAMDeck hub, aimed at pooling memory from old PCs, Macs, and phones to run larger AI models, is raising funds on Indiegogo for $109. The hub operates using llama.cpp's RPC backend, which can be run for free. Its performance varies, with dense models achieving around two tokens per second and a 7B model reaching 43 tokens per second. RAMDeck's main advantage is its ability to connect various devices, including Windows PCs, Macs, Linux machines, and Android phones, into a single memory pool. However, the hub's specifications and performance are not well-documented. Some users may find llama.cpp's free software and open-source alternatives more suitable for their needs.",
  "summary": "Can't stomach DDR5 at five times last year's price? RAMDeck wants to borrow your other devices' memory instead, and it admits that won't be fast.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}