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Home Technology Business Applications & Databases

F5 and NVIDIA to enhance AI application delivery

FutureCIO Editors by FutureCIO Editors
November 1, 2024
Photo by Vojtech Okenka: https://www.pexels.com/photo/person-holding-apple-magic-mouse-392018/

Photo by Vojtech Okenka: https://www.pexels.com/photo/person-holding-apple-magic-mouse-392018/

F5 and NVIDIA aim to transform application delivery for AI workloads through F5 BIG-IP Next for Kubernetes, a new intelligent proxy combined with NVIDIA BlueField-3 DPUs.

F5 has announced the availability of an innovative AI application delivery and security solution, BIG-IP Next, for Kubernetes. This solution provides a centralised control point to accelerate, secure, and streamline data traffic that flows into and out of large-scale AI infrastructures. It leverages NVIDIA BlueField-3 DPUs to enhance data center traffic efficiency for large-scale AI deployments.

Ash Bhalgat
Ash Bhalgat

“Service providers and enterprises require accelerated computing to deliver high-performance AI applications securely and efficiently at cloud scale. NVIDIA is working with F5 to accelerate AI application delivery, better-ensuring peak efficiency and seamless user experiences powered by BlueField-3 DPUs,” Ash Bhalgat, senior director of AI Networking and Security Partnerships at NVIDIA, assures.

Combined technologies 

The combined technologies of F5 and NVIDIA are designed to facilitate the transition to cloud-native (Kubernetes) infrastructure for mobile and fixed-line telco service providers. This strategic partnership addresses the growing demand for adapting functions to a cloud-native network functions (CNFs) model.

F5 BIG-IP Next for Kubernetes aims to streamline the delivery of AI services at a cloud scale, enhance control of AI deployments, and protect the new AI landscape.

Kunal Anand
Kunal Anand

“The synergy between F5’s robust application delivery and security services and NVIDIA’s full-stack accelerated computing creates a powerful ecosystem. This integration provides customers with enhanced observability, granular control, and optimised performance for their AI workloads across the entire stack, from the hardware acceleration layer to the application interface,” Kunal Anand, chief technology and AI officer at F5.

Related:  APAC enterprises anticipate high in the AI-era
Tags: AI infrastructuresF5Nvidia
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