Do you have what it takes to run AI in production?
Ryan Donovan interviews Peter Salanki, CTO of CoreWeave, at HumanX about the challenges of running AI in production. They discuss the significance of observability, utilization, and scheduling in AI operations. Salanki also shares insights on avoiding over-architecting in early stages of AI deployment.
- ▪Peter Salanki is the CTO and co-founder of CoreWeave.
- ▪CoreWeave is an AI-native platform cloud designed for complex AI workloads.
- ▪The discussion emphasizes the importance of observability and scheduling in AI production.
Opening excerpt (first ~120 words) tap to expand
May 26, 2026Do you have what it takes to run AI in production?From the floor of HumanX, Ryan Donovan is joined by Peter Salanki, CTO and co-founder of CoreWeave, to chat about what it really takes to run AI in production; the growing importance of observability, utilization, and scheduling; and Peter’s advice for avoiding the trap of over-architecting too early. CoreWeave is the AI-native platform cloud that’s purpose-built for AI, combining next-generation infrastructure and intelligent tools to power the world’s most complex AI workloads.Connect with Peter on X.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Stack Overflow Blog.
Discussion
0 commentsMore from Stack Overflow Blog
