Tether’s QVAC bets on edge AI: multi‑billion‑parameter models running on phones and GPUs

Tether is making a big push into edge artificial intelligence... saying its QVAC initiative can run, and in some cases fine-tune, multi-billion-parameter models directly on smartphones and home computers with consumer graphics cards. The company is pitching this as a challenge to the idea that serious artificial intelligence must live in data centers. It says QVAC uses efficiency tricks like quantization and low-rank adaptation to shrink model demands, and it is aiming for broad cross-platform support to avoid compatibility headaches. Why it matters... local AI could cut cloud costs, reduce dependence on third-party application programming interfaces, improve privacy, and lower latency. For now, Tether says this is a product framework, not a new token... but the key test will be real benchmarks, plus battery, heat, and memory limits in everyday devices.

📰 Read the full article: https://aped.ai/news/tethers-qvac-goes-allin-on-edge-ai-running-multibillionparameter-models-on-phones-and-consumer-gpus
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