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BIG-IP Next for Kubernetes deployed on NVIDIA BlueField DPUs

Deliver high-performance traffic management and security for large-scale AI infrastructure, unlocking greater efficiency, control, and performance for AI applications.

Request a Quote Core Capabilities
Lower TCO Maximize AI infrastructure
Secure multi-tenancy Down to the server level
DPU-offloaded Zero trust security
Authorized Reseller AppDeliveryWorks · BlueAlly
Overview

Delivering multi-tenancy, acceleration, and observability

BIG-IP Next for Kubernetes deployed on NVIDIA BlueField DPUs provides enterprises and service providers with a single control point to maximize AI Cloud infrastructure usage and accelerate AI traffic for data ingestion, model training, inference, RAG, and agentic AI.

Maximize Efficiency and Lower Costs — Maximize AI infrastructure investment and achieve lower TCO by providing high-performance traffic management and load balancing for cloud-scale AI infrastructure.
Multi-Tenancy Support for AI Cloud Providers — Enable secure Kubernetes-based multi-tenancy and network isolation for AI applications, allowing multiple tenants and workloads to efficiently share a single AI infrastructure—even down to the server level.
DPU-Driven Zero Trust Security — Integrate critical security features and zero trust architecture, including edge firewall, DDoS mitigation, API protection, intrusion prevention, encryption, and certificate management, while offloading, accelerating, and isolating these onto the DPU.
A Single Point of Control

One control point for AI traffic

Improved performance: Maximize infrastructure potential

AI applications demand accelerated networking capabilities. BIG-IP Next for Kubernetes optimizes traffic flows to AI clusters, resulting in more efficient use of GPU resources by interfacing directly with front-end networks. For multi-billion-parameter AI models, BIG-IP Next for Kubernetes reduces latency and provides high-performance load balancing for data ingest and incoming queries.

Scale GPUaaS: Multi-tenancy architecture turbocharges AI factories and cloud data centers for AI workloads

Enables organizations to support more users on shared computing clusters while also scaling AI training and inference workloads. Accelerate AI model connection to data storage in disparate locations while significantly enhancing visibility into app performance, by utilizing advanced Kubernetes capabilities for AI workload automation and centralized policy controls.

Protect Data, Models, and Apps: Secure and streamline your AI deployments

The rapid growth of APIs for AI models introduces significant security challenges. BIG-IP Next for Kubernetes automates the discovery and protection of endpoints, securing AI apps against evolving threats. By offloading network security processing from CPUs to the NVIDIA BlueField DPUs, and by leveraging their zero-trust architecture, BIG-IP Next for Kubernetes delivers fine-grained protection and ensures robust data encryption. This approach not only enhances cyber defenses but also optimizes AI data management, resulting in more secure, scalable, and efficient infrastructure for service providers and enterprises.

Optimize North-South Traffic: Get an integrated view of networking, traffic management, and security

The solution meets the growing demands of AI workloads and is purpose-built for Kubernetes environments. It enhances the efficiency of north-south traffic flows and gives organizations an integrated view of networking, traffic management, and security for AI use cases like inferencing and agentic AI.

Optimize LLM Routing and Inference

Advanced LLM routing dynamically directs tasks to the most efficient models, reducing latency, improving time-to-first-byte (TTFB), and leveraging domain-specific LLMs for higher-quality outputs. NVIDIA Dynamo integration further accelerates distributed inference using cost-efficient KV caching on CPUs, minimizing reliance on GPU memory while optimizing performance. F5 bolsters security for Model Context Protocol (MCP) deployments by serving as a reverse proxy, protecting LLMs from evolving threats and ensuring adaptability to fast-changing AI protocols for scalable and secure operations.

Deploying NVIDIA Accelerated Computing at Scale: Maximize Your Investment

Performance, efficiency, and security are central to the success of organizations deploying large-scale GPU clusters in their AI factories and cloud data centers. BIG-IP Next for Kubernetes leverages the NVIDIA BlueField-3 DPU platforms, releasing valuable CPU cycles for revenue-generating applications. BIG-IP Next for Kubernetes deployed on NVIDIA BlueField-3 DPUs (B3220 and B3240 versions) optimizes data movement and improves GPU utilization while optimizing energy consumption.

Core Capabilities

High-performance networking, advanced security, simplified operations

BIG-IP Next for Kubernetes delivers high-performance networking, advanced security, and simplified operations for AI factories, enabling seamless scaling, Kubernetes integration, and real-time traffic visibility to optimize AI workloads.

Performance Maximize AI Performance Boost data throughput and GPU utilization for AI workloads.
Tenancy Secure Multi-Tenancy Enable secure, isolated environments for multiple tenants.
Security Zero-Trust Security Protect AI workloads with advanced security features.
Management Centralized Management Simplify operations with a single point of control.
Networking High-Speed Networking Deliver ultra-fast connectivity for demanding AI tasks.
Scale Seamless Scalability Expand infrastructure effortlessly as AI workloads grow.
Kubernetes Kubernetes Integration Integrate seamlessly with Kubernetes-native workflows.
Observability Traffic Observability Gain real-time insights into network traffic and performance.
Solution overviews and data sheets

Download the details

PDF · 3 pages F5 BIG-IP Next for Kubernetes Integration with NVIDIA RTX PRO Server Open datasheet
PDF · 4 pages Accelerating and Optimizing Networking for AI Infrastructure Open datasheet
PDF · 4 pages Powering GPUaaS and AI Inferencing Services with F5 and NVIDIA Open datasheet
PDF · 4 pages Driving AI Business Outcomes with Intelligence and Security at Scale Open datasheet
Next Steps

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