Mission Statement
To dismantle the AI oligopoly by unifying the world’s idle consumer GPUs into a distributed intelligence grid.
FAR AI
Abstract
The trajectory of Artificial Intelligence has reached a critical inflection point. Modern AI depends on massive hyperscale clusters of elite, scarce AI accelerators that centralize control. This structure places the future of machine intelligence behind a centralized wall – expensive, exclusionary, and inherently unsustainable. As model sizes grow and inference demand accelerates, the current paradigm becomes environmentally costly, economically inefficient, and politically fragile.
FAR AI leverages a fundamentally different approach: Distributed Compute. Instead of relying on elite hardware monopolized by a few, FAR activates the latent power of millions of consumer-grade GPUs, and equivalent-class cards – that are distributed globally across gaming PCs, creators, small businesses, universities, and idle workstations.
By enforcing a strict 100-GPU Hard Cap per node, FAR prevents industrial-scale centralization and preserves a democratically distributed network. Each node becomes part of a distributed intelligence grid that is accessible to all, owned by none.
At the core of FAR AI lies Semantic Vector Streaming (SVS) – a next generation inference protocol inspired by state-of-the-art research from Tsinghua University. SVS restructures the flow of model computation by converting token-by-token attention into high-coherence vector streams, dramatically reducing memory pressure and bandwidth requirements during inference.
Layered on top of SVS is FAR’s custom Distributed Speculative Verification (DSV) engine, which enables multi-node parallelization of predication. This architecture allows low-cost nodes to rapidly propose candidate tokens while high-consensus nodes verify them, producing Elastic Velocity inference at speeds comparable to proprietary datacenter models.
Where existing networks pursue decentralization in theory, FAR implements it in practice: low-cost, community-owned, and economically inclusive. FAR Network transforms the global GPU base layer into a distributed intelligence grid, creating an AI ecosystem that is faster, cheaper, and more democratic than any datacenter-based alternative.