Blog posts on AI Infrastructure
AI Infrastructure blog posts(39)
F5 BIG-IP Next for Kubernetes 2.3.0: Enhanced AI optimization for production AI
F5 BIG-IP Next for Kubernetes 2.3.0 reflects a shift in how organizations need to operate AI infrastructure as they move from AI experimentation into production.
By Scott Calvet
Data sovereignty: New pressures force organizations to rethink risk
The question is no longer just about where data and applications reside. It’s about who controls them, who can access them, and whether organizations can maintain operational flexibility.
By Bart Salaets
Your next SRE might be a machine
Control is concentrating at the point of intent: prompts, tokens, and routing. The architecture challenge is defining where AI can act, when it must defer, and how to reverse.
By Lori Mac Vittie
Securing Private AI: Convenience or control?
Learn how the newly introduced F5 AI Security Platform approaches privacy for AI security.
By Mark Toler, John Wyss
Standardize AI delivery with F5 NGINX Gateway Fabric
How F5 NGINX Gateway Fabric helps enterprises standardize Kubernetes traffic, secure apps, and prepare for AI inference at scale.
By Karthik Krishnaswamy
How F5 and Equinix help secure and govern distributed AI
As AI agents multiply across hybrid multicloud environments, F5 AI Guardrails and Equinix Distributed AI Hub give enterprises the security and governance to scale with confidence.
By Joe Kanagusuku
What customers are telling us about AI, hybrid multicloud, and application security
F5’s new Senior VP of Product Marketing explains the AI pressures enterprise leaders are facing and what they need to bolster their organizations.
By Nirav Shah
The secret to scaling AI is overcoming Conway’s Law
AI won’t scale by itself. Without a unified control plane that collapses tooling and ownership boundaries, inference becomes the most brittle and coordination-heavy tier.
By Lori Mac Vittie
AI App Delivery Top 10: Lack of fault tolerance and resiliency
AI makes classic resiliency gaps far more costly: single GPU or dependency failures cascade through synchronous inference chains, compounding latency and degrading outputs.
By Lori Mac Vittie
Three reasons to attend F5’s AI Virtual Summit
This June 23 virtual event will explore practical strategies for building, securing, and scaling AI.
By F5 Newsroom Staff
Operational sovereignty: Building resilience in an unpredictable world
For many organizations, the issue is no longer just controlling data. It’s maintaining the ability to operate, adapt, and recover as laws and conditions evolve.
By Bart Salaets
Enterprise AI needs a better data layer
Learn why reliable data flow, control, and protection matter as much as models and compute. F5 and Dell discuss their technology alliance built for enterprise intelligence projects.
By Hunter Smit, Mark Menger, Adam Robyak
Validated testing shows resilient AI data delivery with Dell ObjectScale and F5 BIG-IP
SecureIQLab validated how F5 VELOS, BIG-IP, and Dell ObjectScale improve data delivery resiliency, helping enterprises keep storage-to-compute traffic stable and avoid AI bottlenecks.
By Paul Pindell, Mark Menger, Hunter SmitF5 joins the Dell AI Ecosystem Program to help enterprises operationalize AI
F5 joins the Dell AI Ecosystem Program to help enterprises deploy production AI with greater performance, security, and control.
By Yuichi Miyazaki
The role of WAFs and API discovery in securing agentic AI applications
To secure agentic AI systems as fast as their capabilities and integrations change at runtime, API discovery and WAFs are necessary to apply practical controls.
By Yaniv SazmanBuilding intelligent operations with F5 collaboration
Securely adopt AI operations for your on-premises and multicloud environments using F5, Red Hat, and Presidio
By Andy Olson
Three moves CISOs can't afford to delay
F5’s Chief Technology Operating Officer discusses findings from this year’s F5 State of Application Strategy Report—and what CISOs must do to get ahead of these trends.
By Michael Montoya
Three forces reshaping security leadership: Distributed AI inference, threat evolution, and hybrid multicloud
See the latest AI trends rapidly altering the security landscape.
By John Maddison
F5 Report 2026: AI inferencing has arrived, complicating an already complex IT landscape
Newly released F5 research shows the majority of enterprises are taking AI inference in-house, with the average company now using seven AI models.
By Kunal Anand
Your infrastructure is like a city. Here's why that matters.
Enterprise IT environments are like complex, sprawling cities. See why a single, interconnected management platform is needed to manage them.
By François Locoh-Donou
AI latency: Why security can’t be a trade-off
AI latency isn’t just about speed. It’s about designing systems that balance performance, security, and reliability.
By Jessica Brennan
You can’t firewall a conversation: How AI red-teaming became mission-critical
With AI deployments moving at machine speed, traditional methods of testing software are no longer fit for purpose.
By Jessica Brennan, Allan Healy
The benefits of AI for connected vehicle telemetry data
See how AI intersects with telemetry to deliver and secure connected.
By Frank Yue
Testing reveals up to 3x throughput gains for MinIO storage with F5
Independent testing shows F5 BIG-IP on VELOS delivers up to 332% higher MinIO throughput.
By Florin Meilescu, Muppalla Sridhar, Paul Pindell
F5 and Forcepoint to secure AI from data to runtime
Forcepoint’s data discovery and classification and F5’s AI app protection, guardrails, and testing will help customers safeguard AI across its full lifecycle.
By Ahmed Dessouki, Ted Nitka, Ronan Murphy
How does SecOps feel about AI? Excessive agency
“Excessive agency” is now the top AI concern among security professionals, according to F5 research. Read our blog post to find out why.
By Mark Toler
Your next million customers will be AI. Security must evolve.
F5 and Skyfire are redefining trust, identity, and protection in the emerging agentic AI economy.
By Ahmed Dessouki, Robert Kusters
Setting the standard: Why AI guardrail efficacy testing can't wait
AI guardrail efficacy testing finally has a standard. Read the NSS Labs research series, developed with F5, AWS, and Microsoft, and learn what good AI security actually looks like.
By Ian Lauth
AI factories need intelligent infrastructure. New results from The Tolly Group show why.
Independent testing from The Tolly Group shows how GPU-aware load balancing improves token throughput, latency, and efficiency in AI factories.
By Scott Calvet
A sneak peek into F5 BIG-IP v21.1: AI security, PQC, and software enhancements
Learn how F5’s BIG-IP v21.1 delivers AI security and PQC-readiness.
By Tom Atkins