Architectural Deep Dive: Building Data Pipelines for AI Agents
May 7 | Register Now! The leap from a "hello world" AI agent to a production-ready system is a massive data challenge. Autonomous agents are coming your way, and it's up to you to figure out how to get your data stack ready for production. In this live session, we'll build a high-velocity data pipeline for AI agents from scratch. Starting with the fundamentals of a strong data storage foundation, we'll walk through every layer end-to-end. We'll cover real-time data ingestion, vector storage, retrieval, orchestration, and inference. In this session you’ll learn: How to build a production-ready data storage pipeline for AI agents The foundational decisions IT, Data, and AI teams need to make to handle "context lag" and memory before the first agent goes live A practical framework for assessing whether your current infrastructure is ready to support AI agents at scale Register Now!Bring your hardest questions Building an AI Factory Live with FlashStack
April 21 | Register Now! Most organizations racing to build AI infrastructure are assembling point solutions that create hidden bottlenecks before a single model ever trains. This session cuts through the complexity with a live, practitioner-led walkthrough of the Everpure and Cisco FlashStack® for AI CVD—a proven reference architecture purpose-built for the NVIDIA AI Factory. Experts from Everpure will show you exactly how FlashStack eliminates the guesswork from AI infrastructure deployment, from storage and networking to compute and data pipeline readiness. Key takeaways include: Why a CVD-backed reference architecture reduces deployment risk and accelerates time-to-AI How FlashStack integrates with NVIDIA technologies to support training, inference, and agentic workloads at scale Perspective on what enterprises get wrong when standing up AI infrastructure—and how to avoid the most costly mistakes Register Now!
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 FactoriesAlternative Virtualization Meet-Up at //Accelerate
Our company like many others have parted ways with VMWare. We decided not to renew this last April and are currently running unsupported/perpetual as we look for a replacement hypervisor. Costs on a 7000+ core renewal came in at about 5x what we paid in previous years. Just a little backstory, but this post is not to discuss that. For hardware we currently run Cisco ACI, Cisco UCS and Pure Storage in a converged architecture. What Cisco/Pure call Flashstack. 4 Sites, 200+ blades, Mix of 14 //x and //c Arrays. We are heavy Vvol users today. We have narrowed our search down to Proxmox, XCP-NG, and OpenShift Virtualization. Successes with Proxmox have been great, deployment (iSCSI Boot), automation, migration, etc. Winning so far. XCP-NG, similar to Proxmox. Some issues with Migrations. But overall working. OpenShift, just started vetting. Have a workshop scheduled with RedHat to really test out and see if the product is a good fit. Would require Portworx. Now to what I am wondering, would any of you that will be attending Pure //Accelerate be interested in a meet-up to network and discuss the trials and tribulations with these or other alternative hypervisors on Pure Storage? I am happy to present my decision process, success criteria, testing results and implementation configuration for each. If we get enough people I can ask my AE/SE to see if Pure would allow us use of a breakout meeting room. If interested let me know, I would prefer to keep this vendor neutral other than Pure, as we would not be going to a Pure conference if not interested or already running Pure Storage.Join Pure Storage at Cisco Live 2025 in San Diego!
Join Pure Storage at Cisco Live 2025! San Diego to see how FlashStack® can help you uncomplicate your hybrid cloud infrastructure. Stop by Booth #2541 to chat with the Pure Storage team and learn how you can - rapidly deploy risk-free AI infrastructure, protect your strategic data from core to edge, and more! Curious about how FlashStack can boost your AI game? Catch our Cisco experts in an in-depth speaker session: Title: The Fastest Path to Successful AI Deployment Speaker: Craig Waters Date: Monday, June 9 Time: 12:40pm Register here!Have you implemented AI solutions using FlashStack?
If so, how has your experience been? If not, do you have any questions? A joint solution by Pure Storage, Cisco, and NVIDIA simplifies the complexities of AI with high performance, validated designs, and enhanced scalability. It's designed to meet the demands of AI workloads with ease. Read all about it!
