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Articles by Mark Menger
Enterprise AI needs a better data layer
Industry Trends | May 19, 2026 Enterprise AI is entering a more demanding phase. The challenge for most organizations is no longer gaining access to models or standing up GPU capacity. It is building an architecture that can reliably connect AI systems to enterprise data, expose that data as a shared service across the business, and protect it as usage scales.
Blog posts by Adam Robyak
Principal Engineer and Global AI Lead for Presales | Dell Technologies Blog posts written by Adam Robyak(1) Sort By: Industry Trends | 05/19/2026 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.
Validated testing shows resilient AI data delivery with Dell ObjectScale and F5 BIG-IP
F5 Ecosystem | May 18, 2026 AI infrastructure does not slow down only when compute is constrained. It slows down when data cannot move fast enough, consistently enough, or reliably enough to keep AI workflows running. For model training, fine-tuning, and retrieval-augmented generation (RAG), S3-compatible object storage has become a critical foundation. Massive datasets land in object stores. Training jobs read them at scale.
Five tiers of antifragile cyber resilience turn practice into outcomes
Industry Trends | March 27, 2026 Hybrid and multicloud architectures have fundamentally changed the resilience equation. Applications now span regions, providers, SaaS platforms, content delivery networks (CDNs), identity services, and edge environments. That reach delivers agility and scale, but it also introduces systemic exposure. But for teams that manage the technology and the infrastructure that our digital presences rely on, the question is no longer whether disruption will occur.
A new playbook for hybrid multicloud cyber resilience
Industry Trends | March 04, 2026 In 2025, several high‑profile cloud and Internet infrastructure incidents reminded teams across the globe that disruption is inevitable and often originates outside any single provider or organizational chart. When a major cloud region goes down or a global traffic platform misbehaves, dependent applications fail simultaneously and at scale, regardless of how many 9s are on the SLA.
The F5 Blog
Sr. Product Marketing Manager | F5 Blog posts written by Colin Clauset(5) Sort By: Industry Trends | 03/04/2026 A new playbook for hybrid multicloud cyber resilience Learn why traditional resiliency models fall short and how modern cyber resilience, using an antifragile approach, turns disruption into an advantage.
Secure your AI data pipeline without slowing pipelines down
Industry Trends | February 18, 2026 This blog post is the seventh and final one in a series about AI data delivery. Securing the AI data pipeline is not optional. That much is clear. What is far less obvious—and far more challenging—is how to secure it well. AI pipelines must be protected against breaches, regulatory violations, and long-term cryptographic threats. At the same time, the protection cannot be so rigid, expensive, or compute-intensive that it undermines performance or stalls innovation.
Best practices for optimizing AI infrastructure at scale
Industry Trends | January 21, 2026 This blog post is the fifth in a series about AI data delivery. Most organizations don’t struggle with AI because they lack models; models are proliferating in both number and type. They struggle because their infrastructure was never designed for the way AI moves data. Training, fine-tuning, and retrieval-augmented generation (RAG) all depend on moving massive volumes of data—reliably, securely, and repeatedly—across storage systems, networks, and compute tiers.
Why AI storage demands a new approach to load balancing
Industry Trends | January 09, 2026 This blog post is the fourth in a series about AI data delivery. In the late 1960s, the rock classic, ”The Weight” by The Band (“Take a load off Fanny …”) told a simple story about burden: how responsibility gets passed along until someone quietly carries more than they should. For decades, IT infrastructure worked much the same way.
Tracking AI data pipelines from ingestion to delivery
Industry Trends | December 22, 2025 This blog post is the third in a series about AI data delivery. Generative AI may seem effortless on the surface. But behind every successful model is a data pipeline as intricate and sensitive as an industrial refinery. AI leaders consistently note that the biggest obstacle to scaling AI isn’t the models, it’s the data flow that feeds them.
F5 BIG-IP v21.0 brings enhanced AI data delivery and ingestion for S3 workflows
F5 ADSP | November 18, 2025 Amazon S3 changed the shape of modern infrastructure. By separating object storage from compute, S3 gave application teams durable, affordable capacity with a simple API, and just as importantly, a neutral point for data created in one place and consumed in another.
Portkey and F5 Collaborate for Intelligent AI Application Delivery
In the ever-evolving landscape of artificial intelligence, the ability to deploy and manage large language models (LLMs) efficiently, securely, and reliably is paramount for businesses aiming to stay ahead of the curve.
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