In the past months, scaling solutions for Ethereum are getting a lot of traction and are enabling the surge of many new use cases that were not possible before natively. In this case, the usage of Machine Learning models directly on-chain in Ethereum was a complete fantasy and technically not viable.
With rollup solutions for Ethereum coming into the scene many new use cases are now a reality and create a new landscape of applications built on top of it. Specifically, the surge of rollup solutions based on Zero-Knowledge Proofs opens almost infinite scaling for computation which enables the usage of Machine Learning capabilities in StarkNet, a permissionless decentralized ZK-Rollup.
StarkNet operates as an L2 network over Ethereum, enabling any dApp to achieve unlimited scale for its computation – without compromising Ethereum's composability and security, thanks to StarkNet’s reliance on the safest and most scalable cryptographic proof system – STARK.
Giza is a Machine Learning platform built on StarkNet focused on deployment scaling as well as solving many of the problems Machine Learning models are facing right now in current web2 solutions based on Cloud.