Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...

Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to ...

What if you could glimpse into the future of artificial intelligence by exploring the very projects shaping its trajectory today? From tools that provide widespread access to access to large language ...

The Kubernetes Gateway API standard was created to resolve these architectural and operational deficits. HAProxy Unified ...

Overview: MCP servers combine coding, data, and tools in a single smart system.They boost website speed, cut down on errors, ...

The software development landscape is undergoing a profound transformation as AI moves from a niche tool to an integral ...

Red Hat said OpenShift 4.20 has new capabilities to simplify the deployment and management of large AI workloads. For example ...

Microsoft's research revolved around what it calls the " Magentic Marketplace " -- an open-source environment where AI agents converse with one another in order to complete transactions in a virtual ...

AI can crank out code, but your best developers turn it into something that actually works. The future belongs to human-AI dream teams.

Red Hat has announced Red Hat Developer Hub 1.8, the latest version of their developer portal based on the Backstage project.

The promise of AI is that we can accelerate and automate large swaths of undifferentiated work by augmenting human effort or creating agentic AI “workers” who can complete tasks on their own. To ...