Episode
Optimizing AI spend with Cast AI
- Podcast
- Kubernetes Bytes
- Published
- Aug 14, 2026
- Duration seconds
- 3329
- Processing state
not_requested- Canonical source
- https://zencastr.com/z/npnYVeKd
Actions
POST https://stenobird.com/v1/public/podcasts/kubernetes-bytes-5263358/episodes/optimizing-ai-spend-with-cast-ai/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/kubernetes-bytes-5263358/optimizing-ai-spend-with-cast-ai.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
In this episode of the Kubernetes Bytes podcast, Bhavin talks to Phil Andrews, Global Field CTO at Cast AI about all things AI. The discussion starts by talking about why you don't need an Opus class or Fable/Mythos class model for each task, and how Kimchi from Cast AI can help manage the quality of your output with the cost associated with routing between different models. They also talk about Omni which allows customers to get GPUs across hyperscalers and neocloud providers. Listen to learn more! Check out our website at https://kubernetesbytes.com/ Show Notes: * https://www.linkedin.com/in/philip-andrews-iii/ * https://cast.ai/kimchi/ * https://docs.cast.ai/docs/omni-overview * https://cast.ai/blog/