Tether AI rolls out Turbovec for 100x faster RAG and clustered inference in QVAC SDK 0.19, boosting AI model deployment speed.

Tether AI drops QVAC SDK 0.16 with on-device Ideogram 4, LTX-2 video and NVIDIA GR00T robotics running locally.

Tether AI ships QVAC SDK 0.15.0 with native AMD GPU backend, prompt batching, and second local coding agent OpenClaw for mobile and desktop.

Tether AI releases TurboQuant KV-Cache Quantization in QVAC SDK 0.12.0, cutting memory use 5x near-lossless for stronger local AI on edge devices.

Tether AI drops QVAC SDK 0.10.0 with local image diffusion, GPU optimization, and mobile AI tools, boosting edge AI development kit for private compute.

Tether's QVAC SDK enables LoRA on-device model finetuning with unified API, ensuring privacy without cloud dependency, set for 0.9.0 release in 10 days.

QVAC SDK 0.9.0 enables LoRA fine-tuning on-device for LLM customization without cloud data sharing, releasing in 10 days from Tether's Paolo Ardoino.

Tether debuts QVAC SDK, a universal AI building block tackling centralization woes amid billions of machines and trillions of agents in 2026's tech landscape.

Tether launches QVAC SDK, revolutionizing AI by enabling seamless running, training, and evolution of intelligence across devices and platforms in 2026.