Curated articles, resources, tips and trends from the DevOps World.
Demystifying llm-d and vLLM: The race to productionAs organizations accelerate the journey to production for large language model (LLM) workloads, the ecosystem of open source tools is growing fast. Two powerful projects—vLLM and llm-d—have recently emerged to tackle the complexity of inference at scale. Learn more Forbes - Open Source And Orchestration Will Define Enterprise AI Leadership In 2026Red Hat’s CEO Matt Hicks discusses how enterprise AI leadership in 2026 will hinge on open sou...
Kubernetes' GPU management upgrade enhances resource optimization, crucial for AI workloads, boosting performance and operational efficiency.
Inception Labs is revolutionizing Large Language Models, making them faster and more cost-effective for businesses integrating AI.
Open platforms are revolutionizing Kubernetes deployments, fostering collaboration and flexibility for DevOps teams.
Explore the Tor Project's progress in rewriting its software with Rust for improved security and performance, benefiting user privacy.
Discover the 5-step checklist for building collaborative AI agent systems to optimize your DevOps practices and enhance efficiency.
Explore how AI agents are revolutionizing database scalability, enhancing performance and efficiency for modern applications.
Discover Docker's Model Runner VLLM for Windows, simplifying machine learning model management in DevOps workflows.
IBM's acquisition of Confluent enhances event-driven AI, bridging real-time data and developers' needs in the evolving DevOps landscape.
Learn how to configure the Cagent model with GitHub to enhance DevOps workflows, automate builds, and improve collaboration.
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