Recycleye Enhances its MLOps with Tenyks
Case Study Preview
Revolutionizing MLOps, Recycleye collaborates with Tenyks, a game-changer in AI. Using NVIDIA TAO Toolkit and Tenyks’ platform, they enhance model performance and edge AI deployment efficiency. The alliance achieves an impressive 8X faster deployment of reliable models, resulting in a remarkable 6.2% performance boost, equivalent to £56.2 Million in increased model value. Tenyks’ centralized dashboard offers unparalleled insights, empowering ML teams to analyze and compare models across diverse environments. Collaboration among ML, Hardware, and Data Engineers fosters synergy, expediting the identification of pivotal pipeline configurations. Continuous monitoring with Tenyks ensures consistent high-quality performance, bolstering customer confidence. Recycleye’s data-centric approach complements its model-centric ethos, solidifying its reputation as a trailblazer in sustainable waste management. Join Recycleye and Tenyks to revolutionize MLOps and unlock the potential of AI for a greener world.