Blog Series
Insights and case studies from AI-Driven Research Systems (ADRS).
Automating Algorithm Discovery: A Case Study in Spot Instance Scheduling
by: ADRS Team, October 30, 2025
This post is the second in our AI-Driven Research Systems (ADRS) series, where we apply AI to optimize complex system problems. Here, we tackle spot instance scheduling, a classic cost-versus-reliability problem in the cloud. Specifically, we demonstrate how OpenEvolve discovers novel algorithms that surpass the algorithm from an NSDI'24 Best Paper, achieving up to 16% and 48% cost savings in a single and multi-region setups, respectively.
Automating Algorithm Discovery: A Case Study in MoE Load Balancing
by: ADRS Team, October 23, 2025
This post is the first in a series of case studies in which we apply AI-Driven Research for Systems (ADRS) to optimize performance in various systems. In this blog, we discuss the optimization of a key component in large language model (LLM) inference. Specifically, we demonstrate how OpenEvolve independently discovers and surpasses highly optimized algorithms engineered by human experts to achieve a 5.0x speedup.
Barbarians at The Gate: How AI is Upending Systems Research
by: ADRS Team, October 17, 2025
AI is no longer just tuning systems as a "black box." It's now rewriting their core algorithms by treating the system as a "white box" and discovering solutions that can outperform human experts. This new approach, which we term AI-Driven Research for Systems (ADRS), can automate some of the most tedious parts of reseach.