Andrey Cheptsov is the founder and CEO of dstack, an open source alternative to Kubernetes and Slurm, built to simplify the orchestration of AI infrastructure. With dstack, he focuses on one of the most pressing problems of the post-ChatGPT era: making GPU compute, training jobs, and AI workloads easy to run, whether in the cloud, on-prem, or in hybrid setups, without forcing teams through the complexity of general-purpose orchestration systems.

Andrey brings more than a decade of developer tooling experience to the problem. Before starting dstack, he worked at JetBrains for over ten years, helping different teams make the best developer tools in the industry. That background shows in dstack’s developer-first philosophy and in how he reasons about trade-offs between on-prem economics and cloud spend, the maturity of open source orchestration tools, and practical patterns for distributed training at scale.

A regular voice on AI infrastructure and MLOps, Andrey shares actionable guidance for engineering leaders and ML platform teams on balancing performance, cost, and control as they scale their AI projects.