Tether AI breakthrough Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones. Background Microsoft's BitNet uses one bit architecture to dramatically compress models. Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation. LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent. Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning. Enters QVAC Fabric: the unlock Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends. That means support for AMD, Intel, Apple Metal and also Mobile GPUs. And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs. On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models. The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16. Github repositories: github.com/tetherto/qvac-fab… : general QVAC Fabric codebase github.com/tetherto/qvac-rnd… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries What does it mean? What used to require dedicated GPUs now runs on consumer hardware. This breakthrough is the first real-world signal of a local private AI that can truly serve the people. And this is just the beginning. In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users. The era of Stable Intelligence has just begun. Free as in freedom.

QVAC first demo (android mobile) of its local on-device fine-tuning generalized framework, which aims to bring LORA fine-tuning to any device, scaling from the smallest embedded device to any smartphone, laptop, server, operating system. In combination with WIP multi-node features, we expect QVAC to become the standard for local on-device single/multi node inference and fine-tuning. Imagine a horde of AI agents being able to learn from your emails, notes and messages, maintaining 100℅ privacy, leveraging only your own devices. A P2P private intelligence network at your fingertips. That's how QVAC personal assistant will look like. Future of Intelligence won't be centralized. Infinite Ingelligence vibes.

Tether's AI first launch. Local on-device AI is evolving. - QVAC Workbench, mobile/desktop app for using and experimenting many AI models locally on device with 100% privacy - QVAC Genesis I, largest synthetic pre-training datasets for Large Language Models (LLMs) to date. 🤖🤖

Today Tether introduces WDK, the Wallet Development Kit, one of the core pillars of our Stable Company strategy. At Tether, we imagine a world where humans, autonomous machines, and AI Agents have the freedom to control their own finances and transact without boundaries. In that future, where programmable money is the social network across the fabric of society, WDK by Tether is the cornerstone of the financial backbone, a fully open-source, self-custodial toolkit designed to be modular, independent, resilient, and infinitely scalable, enabling trillions of wallets. Self-custodial wallets are the cornerstone of a free and resilient monetary infrastructure. If we continue to build towards this common goal, we'll be Unstoppable Together. For a detailed overview of WDK: 1. watch the official video 👇 2. read the announcement 3. read the docs 4. checkout the codebase 5. contribute back

Made for America

Marco @elchiapp, Head of Product at QVAC Health, explains the last private beta app update. Still lot of work in progress. Current focus is building all the underlying structured local datastore so that anything can be built on top of it. Enjoy 💪

Why QVAC @tether ?