Solutions for AI Networking and Data Ingestion
AI is only as fast as your data pipeline. F5 accelerates data ingestion and networking across your entire AI environment.
When data crawls, AI stalls. Feed GPUs with fast, secure data.
Data throughput bottlenecks throttle AI models. Without steady, protected data pipelines, GPUs sit idle, costs rise, and models miss their mark. High-performance AI networking and traffic management from F5 solves these challenges with secure, accelerated networking.
The F5 Application Delivery and Security Platform keeps every AI-powered app fast, available, and fully under your control—wherever they live. By unifying industry leading application delivery and security in one programmable platform, F5 lets you deploy in any form factor, manage with a single policy, and automate the entire lifecycle.
Unleash high-performance AI networking to scale AI model training and delivery
Explore the F5 AI Reference Architecture to discover best practices for enabling secure, reliable, and performant AI infrastructure across your hybrid and multicloud environments. See how F5 solutions support everything from data ingestion for model training and inference to optimized AI networking. Keep data moving at line rate and scale traffic seamlessly for consistent, cost efficient performance end-to-end.
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Data Delivery for AI Models
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Traffic Management in AI Factories
The F5 AI Reference Architecture highlights strategic traffic management points across the AI pipeline, from the web and API front door and enterprise data ingest links to cluster ingress inside the AI factory, ensuring fast, reliable, and secure data flow end to end.
High‑throughput ingest nodes bridge enterprise data stores to training clusters, balancing parallel streams, offloading encryption, and enforcing policies for efficient movement of data sets.
A DPU‑accelerated ingress tier fronts inference, retrieval‑augmented generation, and training stages—delivering ultra‑low‑latency load balancing, tenant isolation, and real‑time visibility to maximize throughput within an AI factory cluster.
Benefits
Reduced AI Network Congestion
High-speed load balancing ensures maximum utilization of ingest links, preventing slowdowns during model training and inference. Dedicated network processing accelerates data delivery, increasing utilization of AI infrastructure and delivering AI business results faster.
Lower Cost, Less Sprawl
A single, intelligent ingress tier replaces multiple specialized networking appliances, simplifying infrastructure management. This consolidation reduces complexity, minimizes idle compute time, and significantly lowers operational expenses.
Secure Multi‑Tenant Isolation
Apply zero-trust security policies using firewall services deployed on DPUs. Easily isolate tenants and protect sensitive AI training and inference data, enforcing strict controls without compromising performance or adding latency.
Instant Operational Insight
Gain visibility into data ingestion flows and AI traffic performance with observability. Quickly pinpoint congestion points or bottlenecks for rapid troubleshooting, optimizing AI workloads to maximize efficiency.
Explore Solutions for AI Networking and Data Ingestion
Efficient AI networking moves data smoothly, so teams can iterate on models quickly. Offloading traffic management and security to NVIDIA BlueField-3 DPUs drives north/south traffic at line rate, reducing latency. DPU hardware acceleration frees host CPUs, trims power use, and keeps GPUs fully utilized. Tenant isolation and segmentation runs directly on the DPU to reinforce security boundaries. Live telemetry identifies congestion early. The network scales predictably as workloads grow, delivering performance and cost control.
Explore F5 BIG-IP Next for Kubernetes deployed on NVIDIA BlueField-3 DPUs ›
Resources
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Explore global AI security insights from leading enterprises, highlighting strategies to protect AI models and address vulnerabilities in an increasingly complex threat landscape.