RedMonk Co-Founder James Governor tells how decades of software delivery practices are now essential for managing AI's unpredictable behavior, in this episode of The New Stack Makers.

Learn why LaunchDarkly's CEO sees self-healing software as the inevitable next step for agentic applications in this episode of The New Stack Makers.

Skills gaps and architectural mismatches make running workloads on multiple infrastructures hard. Here's how Nutanix tackles these problems.

Not all AI workloads require expensive GPUs. Learn how Google's Arm-based Axion CPUs provide a cost-effective alternative for specific AI and cloud tasks.

IBM observability experts explain why the biggest challenge in deploying AI-based applications isn't the technology itself.

How enterprises will run multiple AI agents while maintaining security and state is poised to become a mainstream problem.

The latest version of Kubernetes includes dynamic resource allocation, and a forthcoming workload abstraction could transform multinode AI deployments.

In this episode of The New Stack Makers, we discussed how AI is reshaping developer roles, why GitLab is building an agent orchestration platform, and what the "meta agent" of the future might look like.

Why inference will dominate the next decade of computing and what the CNCF’s new Kubernetes AI conformance program means for enterprises.

Learn about vSphere Kubernetes Service, certified as one of the first conformant platforms for the CNCF's new AI standard, in this episode of The New Stack Makers.