Tether Unveils AI Framework to Reduce VRAM Usage by Over 70%
- Tether introduced a cross-platform LoRA fine-tuning framework for Microsoft’s Bitnet models.
- The new framework reduces VRAM usage by over 70%, making it feasible for smartphones.
- This development aims to expand edge computing capabilities, reducing reliance on Nvidia GPUs.
Tether’s latest AI framework is set to revolutionize the accessibility of large-scale model training by significantly cutting down VRAM requirements, thus enabling smartphone compatibility and reducing dependency on high-end hardware like Nvidia GPUs.
By slashing VRAM usage by over 70%, Tether’s initiative could democratize access to advanced AI capabilities, aligning with the growing trend towards edge computing solutions. (Source)
