What is AIchor?
The AIchor platform allows the user to manage Machine Learning (ML) and Reinforcement Learning (RL) experiments at scale, leveraging the underlying infrastructure either on-premise or on the cloud. It uses enterprise grade servers to take advantage of the full power of high density CPU cores and advanced GPU to distribute machine learning workloads at scale while abstracting the hardware and technical intricacies to AI Engineers and researchers.
AIchor Overview
The AIchor platform integrates with any Machine Learning project hosted under a Git repository using commit webhooks. This allows AI engineers and researchers to trigger Machine Learning pipelines by pushing their code to their repository. This automatically triggers a centralized pipeline that handles all the steps required to run the experiment.
Prerequisites
Before using AIchor, a team needs to ensure a minimum requirement for its project setup. The Machine Learning team needs to manage its code using a version control system. Currently, the system supports Github, Gitlab and BitBucket. Other VCS vendors will be supported in the future.
AIchor use cases
Routing electronic boards