Tether launches QVAC SDK, open-source toolkit for on-device AI and peer-to-peer inference across platforms

77.8% VRAM reduction on BitNet-1B vs Gemma-3 16-bit, with LoRA fine-tuning hitting under 80 minutes on a Samsung S25 — if those numbers hold outside Tether's own benchmarks, this undercuts every cloud-dependent AI inference play in crypto. P2P model distribution layered on Vulkan-based edge compute gives you censorship-resistant model sharing without touching a single NVIDIA API or Big Tech endpoint. Pair that with USDT payment rails for autonomous agent transactions and Ardoino's building a permissionless agent economy funded by stablecoin reserve yields. Still need independent benchmarks against llama.cpp and MLC on the same hardware before anyone should be running victory laps.

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