F5 Becomes Gold Member of Cloud Native Computing Foundation

Mar 28, 2026
F5 has elevated its membership to Gold within the Cloud Native Computing Foundation, expanding collaboration on open source projects such as OpenTelemetry, Kubernetes Ingress, and Gateway API to enhance secure networking and AI observability across multicloud environments.
F5 Becomes Gold Member of Cloud Native Computing Foundation

F5 has elevated its membership to Gold within the Cloud Native Computing Foundation, announced in a press release. The move broadens F5's collaboration on open source projects such as OpenTelemetry, Kubernetes Ingress, and Gateway API to enhance secure networking, application delivery, and AI-driven observability across cloud native infrastructures.

As a Gold Member, F5 will work more closely with the CNCF community on initiatives that improve scalability and security for Kubernetes and multicloud environments. The company, which also sponsors the NGINX project, contributes to refining Kubernetes Ingress and Gateway API standards and developing real-time telemetry tools for application visibility.

The CNCF noted that F5’s increased involvement will help advance secure and scalable AI inference workloads, an area where cloud native infrastructure plays a critical role. Through its expanded membership, F5 joins other industry leaders in supporting open source innovation across cloud, AI, and edge computing ecosystems.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.