The New Stack Podcast

697 Episodo

1. How Nutanix Is Taming Operational Complexity

   Publicado: 18/12/2025
2. Do All Your AI Workloads Actually Require Expensive GPUs?

   Publicado: 18/12/2025
3. Breaking Data Team Silos Is the Key to Getting AI to Production

   Publicado: 17/12/2025
4. Why AI Parallelization Will Be One of the Biggest Challenges of 2026

   Publicado: 16/12/2025
5. Kubernetes GPU Management Just Got a Major Upgrade

   Publicado: 11/12/2025
6. The Rise of the Cognitive Architect

   Publicado: 10/12/2025
7. Why the CNCF's New Executive Director is Obsessed With Inference

   Publicado: 9/12/2025
8. Kubernetes Gets an AI Conformance Program — and VMware Is Already On Board

   Publicado: 8/12/2025
9. How etcd Solved Its Knowledge Drain with Deterministic Testing

   Publicado: 5/12/2025
10. Helm 4: What’s New in the Open Source Kubernetes Package Manager?

    Publicado: 3/12/2025
11. All About Cedar, an Open Source Solution for Fine-Tuning Kubernetes Authorization

    Publicado: 2/12/2025
12. Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible

    Publicado: 1/12/2025
13. 2026 Will Be the Year of Agentic Workloads in Production on Amazon EKS

    Publicado: 28/11/2025
14. From Cloud Native to AI Native: Where Are We Going?

    Publicado: 28/11/2025
15. Amazon CTO Werner Vogels' Predictions for 2026

    Publicado: 25/11/2025
16. How Can We Solve Observability's Data Capture and Spending Problem?

    Publicado: 20/11/2025
17. How Kubernetes Became the New Linux

    Publicado: 18/11/2025
18. Keeping GPUs Ticking Like Clockwork

    Publicado: 17/11/2025
19. Jupyter Deploy: the New Middle Ground between Laptops and Enterprise

    Publicado: 14/11/2025
20. From Physics to the Future: Brian Granger on Project Jupyter in the Age of AI

    Publicado: 13/11/2025