The Collective Knowledge technology (CK) was developed
by Grigori Fursin
to help researchers and practitioners collaboratively benchmark,
optimize and co-design complex computational systems (AI, ML, quantum, IoT)
in terms of speed, accuracy, energy and different costs.
CK also supports Grigori's vision to enable self-optimizing, brain-inspired and efficient
computer systems with the help of an open repository of knowledge
a common research SDK with reusable best practices and DevOps
live SOTA scoreboards
and reproducible papers
We would like to thank all our academic and industrial partners
for their feedback and support!
Even though the CK technology
is used in production
for more than 5 years, it is still a proof-of-concept prototype requiring further improvements
Depending on the available resources, we plan to develop a new, backward-compatible and more user-friendly
version - don't hesitate to get in touch if you are interested to know more!
Get in touch with the CK founder and lead developer
Get in touch with the CK community