CNCF and SlashData Report Finds Leading AI Tools Gaining Adoption in Cloud Native Ecosystems

New report provides maturity and recommendation scores for tools and projects across AI inference, ML orchestration, and agentic AI platforms Key Highlights: CNCF and SlashData’s new report highlights the top AI tools gaining traction in cloud native ecosystems, with NVIDIA Triton, Metaflow, Airflow, and Model Context Protocol leading in adoption and developer trust. For AI inference tools, NVIDIA Triton, DeepSpeed, TensorFlow Serving, and BentoML are the projects developers cumulatively placed in the adopt position. Further, NVIDIA Triton received the highest ratings for both maturity and usefulness. In the ML orchestration category, Airflow and Metaflow rose to the adopt position. Metaflow earned the highest maturity ratings, while Airflow had the highest usefulness ratings. In agentic AI platforms, Model Context Protocol (MCP) and Llama Stack reached the adopt classification. MCP leads on maturity and usefulness; meanwhile, Agent2Agent posted the highest recommendation score at 94%. ATLANTA, KUBECON + CLOUDNATIVECON NORTH AMERICA. – November 11, 2025 – The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, released new findings from the Q4 2025 CNCF Technology Landscape Radar report with SlashData , uncovering insight on developers’ experience and opinions on AI inference tools and engines, agentic AI platforms and projects, and ML orchestration tools. “Organizations building and operating AI systems can’t treat tooling the way they did five years ago,” said Chris Aniszczyk, CTO, CNCF. “What this new research affirms is that cloud native principles from scalable infrastructure and orchestration are foundational not just for backend apps, but for inference pipelines and agentic AI systems. Choosing technologies rated ‘adopt’ helps reduce risk and increase productivity.