Deploying NVIDIA Accelerated Computing at Scale
Performance, efficiency, and security are central to the success of organizations deploying large-scale accelerated computing clusters. By leveraging F5's BIG-IP Next solutions deployed on NVIDIA BlueField-3 DPU platforms, service providers, sovereign cloud operators, hyperscalers, and enterprises can unlock the full potential of their AI and 5G infrastructure investments.
F5 and NVIDIA, Unleashing the Power of AI
F5’s Buu Lam discusses recent AI innovations and our ongoing collaboration to transform the digital world in the AI era with Kevin Deierling, Senior Vice President of Networking at NVIDIA and Kunal Anand, Chief Innovation Officer at F5.
How F5 and NVIDIA Help
BIG-IP Next for Kubernetes
Deployed on NVIDIA BlueField-3 DPUs
BIG-IP Next for Kubernetes delivers—natively deployed on NVIDIA BlueField-3 DPUs—high-performance traffic management and security for large-scale AI factories, unlocking greater efficiency, control, and performance for AI applications, natively deployed on NVIDIA BlueField-3 DPUs. This provides enterprises and service providers with a single control point to maximize AI infrastructure usage and accelerate AI traffic, for faster and more scalable data ingestion, model training, inference, and agentic AI workflows.
- Maximize Efficiency and Lower Costs: Maximize AI infrastructure investment and achieve lower TCO while providing high-performance traffic management and load balancing for large-scale AI infrastructure.
- Multi-Tenancy Support for AI Cloud Providers: Enable secure 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.
BIG-IP Next Cloud-Native Network Functions
Deployed on NVIDIA BlueField-3 DPUs
BIG-IP Next Cloud-Native Network Functions (CNFs) empower service providers and telecoms to combine 5G and AI workloads on common infrastructure, enabling new AI-powered use cases. By combining the proven carrier-grade traffic management and security from F5 with hardware acceleration from NVIDIA BlueField-3 DPUs, organizations gain a scalable, cloud-native solution capable of automatically adapting to evolving network demands—like AI-RAN deployments.
- Distributed N6-LAN: Enable efficient and secure processing of N6-LAN traffic at the edge, leveraging the high-performance capabilities of BlueField-3 DPUs to meet the stringent requirements of 5G networks.
- AI-RAN: Optimize AI-RAN deployments with dynamic scaling and enhanced security, ensuring that AI workloads are processed efficiently and securely at the edge, improving overall network performance.
- Edge AI: Deploy advanced AI applications at the edge with the confidence of carrier-grade security and traffic management, ensuring real-time processing and analytics for a variety of edge use cases.
Resources
Featured
F5 Unlocks Gigascale AI Infrastructure Using NVIDIA BlueField-4 DPUs
F5 announces expansion of its BIG-IP Next for Kubernetes network and security solution on the newly announced NVIDIA BlueField-4 data processing unit (DPU).
Learn moreBlogs
F5 accelerates and secures AI inference at scale with NVIDIA Cloud Partner reference architecture ›
NVIDIA, F5 Turbocharge Sovereign AI Cloud Security, Efficiency ›
The Power and Meaning of the NVIDIA BlueField DPU for AI Factories ›
F5 Expands Collaboration with NVIDIA to Turbocharge AI-Powered Edge Innovations ›
Solution overviews
Accelerating and Optimizing Networking for AI Infrastructure ›
F5 and NVIDIA Optimize AI-RAN, Distributed N6-LAN, and AI Edge Security ›
Powering GPUaaS and AI Inferencing Services with F5 and NVIDIA ›
Videos
Q&A with F5’s Chief Innovation Officer on BIG-IP Next deployed on NVIDIA BlueField-3 DPUs ›
F5's Chief Innovation Officer Discusses the Significance of the AI Factory ›