BIG-IP Next for Kubernetes deployed on NVIDIA BlueField-3 DPUs
Deliver high-performance traffic management and security for large-scale AI infrastructure, unlocking greater efficiency, control, and performance for AI applications.
Delivering multi-tenancy, acceleration, and observability
BIG-IP Next for Kubernetes runs natively on NVIDIA BlueField-3 DPUs. This 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
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.
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.
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
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.
Maximize AI Performance
Boost data throughput and GPU utilization for AI workloads.
Enable secure, isolated environments for multiple tenants.
Zero-Trust Security
Protect AI workloads with advanced security features.
Centralized Management
Simplify operations with a single point of control.
High-Speed Networking
Deliver ultra-fast connectivity for demanding AI tasks.
Seamless Scalability
Expand infrastructure effortlessly as AI workloads grow.
Kubernetes Integration
Integrate seamlessly with Kubernetes-native workflows.
Traffic Observability
Gain real-time insights into network traffic and performance.
Resources
Featured
Effective network segmentation ensures secure, efficient, and scalable operations within AI factories.
Schedule a meeting with F5
Deploying cloud-native apps at scale? Find out how F5 and NVIDIA can enable you to achieve greater efficiency, performance, and security for AI and other modern apps.
Upon submission, an F5 business development representative will be in contact to schedule.