We bring latest research in performance tuning to production.

Machine learning-based performance optimization does it faster and better.

Introduction

Performance tuning is a tedious task. TuneUp.ai seeks to do automated performance tuning using artificial intelligence. In collaboration with UC Santa Cruz, we have demonstrated that an early prototype of our system can improve the I/O throughput of a Lustre cluster by as much as 45% (Supercomputing ’17 paper and poster).

We are busy working on making our technology available and affordable for every one, from the operators of the largest data centers to the small business owner who has to manage their own servers in the garage. Join the mailing list to receive our announcements:

In the meantime, you can check out two open source projects we have released:

Call for Collaboration

We are highly interested in partnerships with:
  • Companies who are interested in using machine learning to accelerate the tuning process of their products
  • Engineers who are interested in transforming research ideas into products that can benefit real world projects
  • Researchers from both machine learning and systems research areas that are interested in applying more machine learning methods to systems research
Want to know more? Leave us a message, or email yanli AT tuneup.ai.