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.
3 outlets in our directory ran this story, first to last over 26 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ A Tiny Open-Source Self-Driving AI That Runs on a Phone [P] — r/MachineLearning
- ▪ If every OS was open source, you could run vista — Ycombinator
Stack Overflow Blog files mainly under programming. We currently carry 8 of its stories.
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Story provenance
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Record
| Original publisher | Stack Overflow Blog |
| Canonical URL | https://stackoverflow.blog/2026/05/26/do-you-have-what-it-takes-to-run-ai-in-production/ |
| Publication time | Tue, 26 May 2026 07:40:00 GMT |
| Retrieval time | 2026-05-26T04:07:43.013Z |
| Last seen | 2026-05-26T04:07:43.013Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 27XXrISSdwAC · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.
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