New IDC Research: Building Data Infrastructure for AI
March 5 | Register now! What's behind AI agents that are fast, safe, and reliable? It starts with smarter data infrastructure. Pure Storage and IDC have been studying what separates organizations that are pulling ahead in AI from those that are stalling. Join us to see the research, hear what's changing, and rethink your data strategy to get ready for AI. In this webinar, we’ll share: Drivers of AI performance today New IDC research on how leaders are building for AI What separates fast-movers from the rest A preview of where Pure Storage and IDC see the market heading Register Now!Secrets to Success Workshop: Supercharge Your Adoption of AI
February 12 | Register Now! Get ready to supercharge and fast-track your adoption of AI! Join Pure Storage for an exclusive virtual workshop on Thursday, February 12th. We'll unlock the secrets for successfully transforming AI pilots and exploratory initiatives into experience-backed, production-ready deployments. Register now to secure your spot for this highly engaging, virtual experience exploring new horizons with AI: Hear about AI industry trends and best practices for successful AI deployments. Learn why the right storage platform makes a difference in production AI. Take a deep dive into MLOps workflows in production for various use cases as part of an interactive exercise. Collaborate with peers, learn best practices, and workshop potential solutions with AI experts. Immerse yourself in expert insight on architecting, deploying, removing risk, simplifying and fast-tracking AI into production through demonstrations and engagement with industry experts and peers. Register Now!
The Only Constant Is Change: Architecting for AI, Cloud, Virtualization, and Beyond
February 10 | Register Now! 11:00AM PT • 2:00PM ET Foundations matter: Their flexibility enables or constrains what you can do years down the road with your applications and business initiatives. For February 2026, host Andrew Miller explores the idea of data center foundations and how Pure Storage works with Cisco around FlashStack® to enable both current and future business initiatives. He’ll be joined by Eugene McGrath, Principal Field Solutions Architect for FlashStack—and previously a partner and customer—who will do a deep dive on this topic. We’ll wander through: Data center architecture history - from Reference Architecture to Converged Infrastructure, to Hyperconverged Infrastructure, the benefits we hoped for from each architectural phase, and how well we achieved them at an industry level. FlashStack - the core design principles behind the Cisco and Pure Storage partnership and the benefits, including statelessness, innovation without disruption, benefits during Day 0/1/2, and Cisco Validated Designs. What matters today - new announcements and capabilities with Nutanix, hypervisor optionality, AI designs, AI Pods, and more! In short, FlashStack reduces risk with prevalidated solutions for AI and analytics, cyber resilience, business-critical applications, and modern virtualization.
5 AI Predictions Every Infrastructure Leader Needs to Know in 2026
January 22 | Register Now! In 2026, AI moves from experimentation to execution—and infrastructure leaders are in the driver's seat. Organizations that build the right data foundations now will be the ones turning AI into a true competitive advantage. Join us as we explore five trends shaping the future of AI infrastructure, from unlocking the value of your data to architecting for production-scale AI workloads. Walk away with a clear roadmap for positioning your infrastructure as the engine that powers your organization's AI ambitions. In this webinar, you'll learn: How to get your data ready for AI All about the NVIDIA AI Factory and Data Platform What it takes to scale AI from pilot to production Practical ways to bring AI into your organization Register Now!
Stop Prompting, Start Context Engineering
This blog post argues that Context Engineering is the critical new discipline for building autonomous, goal-driven AI agents. Since Large Language Models (LLMs) are stateless and forget information outside their immediate context window, Context Engineering focuses on assembling and managing the necessary information—such as session history, long-term memory (embeddings, RAG indexes), and tool outputs—for the agent every single turn. The post asserts that storage, not the LLM or the prompt, is the primary performance bottleneck for AI at scale. The speed of the underlying storage architecture dictates the agent's responsiveness because it must quickly retrieve and persist context data repeatedly.AI is Growing Rapidly. Is Our Talent Pipeline Keeping Up? 🚀
The AI revolution is currently building at a record pace, but the industry is facing a massive "people pipeline" problem. Industry leader Carrie Goetz, Principal and CTO at StrategITcom, highlights in the article, Building the People Pipeline for the Data Center Boom, that with nearly 500,000 open roles and a third of the workforce nearing retirement, we can no longer rely on poaching talent from competitors. Goetz proposes we must shift our focus to structured, skills-based apprenticeships and widen our reach to include veterans, tradespeople and neurodiverse talent. By demystifying the industry and showing students that tech careers involve much more than just coding, we can build a sustainable future for digital infrastructure. The conclusion: It’s time to stop just building facilities and start intentionally building the human workbench that powers them. --------------------------------------------------------------- 📣 Community Question: If you’re in the industry, share with us your own 'unconventional' path into the data center world. What's the one skill you use daily that isn't taught in a traditional classroom? Let's discuss! Click through to read the entire article above and let us know your thoughts around it in the comments below!
Turn Your Data into a Competitive Advantage
AI adoption is accelerating across every industry—but the real gap isn’t in ambition, it’s in operationalizing AI reliably and at scale. If your organization is looking to move from early pilots to production-grade AI, FlashStack for AI shows how you can make that shift with confidence. FlashStack AI Factories, co-engineered by Pure Storage, Cisco, and NVIDIA, delivers AI Factory frameworks and provides clients a predictable, scalable path to train, tune, and deploy AI workloads—without introducing operational risk. FlashStack delivers meaningful advantages that help teams operationalize AI more effectively: Consistent, production-grade AI performance powered by NVIDIA’s full-stack architecture—ensuring compute, networking, and storage operate as a synchronized system for dependable training and inference. Faster deployment and easier scaling, enabled by unified management through Pure1 and Cisco Intersight, reducing operational overhead and accelerating time to value. Stronger cyber resilience and reduced risk, with SafeMode immutable snapshots and deep integration with leading SIEM/SOAR/XDR ecosystems to safeguard high-value AI data. Meaningful business outcomes, from shortening AI innovation cycles to powering new copilots, intelligent assistants, and data-driven services. Together, these capabilities help enterprises turn raw data and processing power into AI-driven results—securely, sustainably, and without operational complexity. Read More! FlashStack AI FactoriesAI & Analytics Insights: Curing AI Amnesia with Sports Cars and Semi-Trucks
January 13 | Register Now! 11:00AM PT • 2:00PM ET To ring in 2026, host Andrew Miller revisits the topic of the decade—AI!—with Ian Saunders. He’s a true practitioner in the space who works directly with customers on a daily basis. We’ll wander through: AI hype cycle - We’re a couple years in and what lessons have we learned. New AI challenges - AI forgets who you are (aka “the need for Context Engineering”) and preparing enterprise data for LLMs (today’s biggest challenge for enterprise AI adoption). Heard of the MIT study that 95% AI initiatives fail? We’ll unpack the reasons. How Pure Storage helps with today’s AI challenges FlashArray™ + FlashBlade® + Portworx® to help with the real underlying challenges around Context Engineering (in some scenarios with 20X performance boost, thanks to KVA). Pure Storage Data Stream solves for today’s biggest challenge facing enterprises around successful AI PoCs. And don’t worry, we’ll fully deliver on curing AI amnesia and where sports cars and semi-trucks fit into the picture!Is Compute Scarcity Stalling Your AI Progress? ⚡
AI success isn’t just about the model. In the article, "Managing AI In An Era Of Compute Scarcity: Governance Takes Center Stage", Palanivel Rajan Mylsamy: Director of Engineering Program Management at Cisco explains why compute governance is the new priority for tech leaders. Mylsamy highlights that compute power has become the "new gold," making it the primary bottleneck for scaling. To succeed, organizations must move away from wasteful resource allocation and embrace intelligent routing and hybrid infrastructures that balance security with cost-effectiveness. Ultimately, you can’t scale AI on a weak foundation; true growth requires moving from "what’s possible" to "what’s operationally sound." 📣 Community Question: How is your organization handling the compute crunch? Are you leaning more toward cloud, on-prem or a hybrid model? Explain why. Let's discuss! Click through to read the entire article above and let us know your thoughts around it in the comments below!Pure Fusion Expert Demo: From Fleet Creation to Policy‑Driven Provisioning
December 16 | Register Now! Manual provisioning and reactive management can slow innovation and drain valuable IT time. What if you could manage your enterprise data intelligently? Join us for a Pure Fusion™ Expert-led Demos Webinar: Walk through Pure Fusion configuration and fleet creation to securely federate arrays and gain one, consistent data management experience across your environment. See remote provisioning in action—manage any array from any array and provision storage anywhere via GUI, CLI, or API. Learn how policy‑driven presets standardize protection, QoS, and naming for repeatable, error‑free deployments—and get AI‑driven placement recommendations. Register Now!
