SONIC: AI acceleration as a service
Description
This project focuses on integration of AI hardware for at-scale inference acceleration for particle physics experiments.
Detailed example
It can be an AI algorithm from prediction to data compression to control (decision making).
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
SONIC is used to accelerate AI workloads on coprocessors in scientific experiments. This can accelerate sientific discovery and time to science thus enabling large cost savings and DOE scientific prestige.
Audit / financial statement impact
The use case does not have an effect on civil rights/liberties/privacy, access to education/housing/insurance/credit/employment, access to critical government resources/services, human health/safety, critical infrastructure/public safety
Controls / human review
ATO: No; PIA: Not published
Data needed
research datasets from scientific experiments