People assume useful local AI requires a $30k GPU cluster.Reality: a 4-bit quantised Qwen2.5 14B fits in ~10GB VRAM and handles most real work — coding, writing, analysis — at 20–30 tok/s.The gap between "cloud AI quality" and "runs on your hardware" is narrower than the marketing suggests.#LocalAI #SelfHosted #LLM #HomeServer #OpenSource
Related
Snapseed finally gains these long-overdue features for its camera interfaceA new Snapseed update finally brings toggles ...
Snapseed finally gains these long-overdue features for its camera interfaceA new Snapseed update finally brings toggles to enable location metadata and save original photos for re-...
📰 America needs to stop getting shocked by Chinese AILast week, two Chinese AI companies unveiled models they say can cr...
📰 America needs to stop getting shocked by Chinese AILast week, two Chinese AI companies unveiled models they say can credibly compete with the best systems from OpenAI and Anthrop...
Stocks & Trading Update – July 21, 2026Articles of Interest while having coffee at Panera.Pre-market/after-hours:🇺🇸 US f...
Stocks & Trading Update – July 21, 2026Articles of Interest while having coffee at Panera.Pre-market/after-hours:🇺🇸 US futures green, but most indices still red after yesterday’s A...