According to @paoloardoino, QVAC Fabric LLM will expand local on-device inference over the next weeks and months across any GPU, OS, and device, indicating a near-term development timeline for edge AI workloads; source: twitter.com/paoloardoino/status/1997254132516651323. He cites a new Fabric LLM paper demonstrating the first successful fine-tuning on mobile GPUs including Adreno, Mali, and Apple, enabling true on-device personalization for models; sources: twitter.com/paoloardoino/status/1997254132516651323, huggingface.co/blog/qvac/fabric-llm-finetune. The team reports universal compatibility across desktop GPUs spanning AMD, Intel, NVIDIA, and Apple architectures, signaling broad hardware coverage for local inference at scale; sources: twitter.com/paoloardoino/status/1997254132516651323, huggingface.co/blog/qvac/fabric-llm-finetune. For crypto-focused traders, the announcement highlights accelerating edge AI capability but includes no token integrations, pricing, or partnership disclosures, so there are no immediate market impact signals in the release; sources: twitter.com/paoloardoino/status/1997254132516651323, huggingface.co/blog/qvac/fabric-llm-finetune.