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Getting Started: 5 Steps to Get the Most Out of the Pure Customer Community
2 MIN READ Welcome! You've taken the first step and created an account here. What to do next you ask? Here's five simple steps to take after registering to ensure you're getting the most out of this community...bmcdougallPlace User BlogsUser BlogsCommunity Manager3.1KViews18likes9Comments
Recent Discussions
October Meetup 2: The Get Together
Happy Friday Everyone! Following up on my post from last week to check in and try and find a time to get together next month! How do we feel about meeting up on October 22nd around 4:30–7:30 PM? Since it's our first meetup and this is going to be more of a social gathering, I was thinking about either Brickwest or Steamplant, but I need your help deciding! Respond to this post with which location sounds best and if this time works for you! I know it's only a month away, so I can push it back, but I'd love to start the last quarter strong by getting together and meeting some new faces! Looking forward to meeting everyone!1View0likes0Comments09172026 - TechTalk Recap - Building an Efficient Storage Platform in Microsoft Azure ☁️
If you missed our latest TechTalks session, Michelle Berry, Nick Scuola, and I talked about a challenge that is top of mind for a lot of IT teams: moving workloads to Azure without creating a new set of cost, performance, and operational headaches. The practical takeaway? Cloud storage should give you more flexibility—not force you to overprovision capacity, rebuild your operational model, or choose between modernizing today and keeping the lights on. What you missed 👇 💸 Cloud costs are not always predictable. Capacity and performance can be tied together in traditional cloud storage, which can leave teams paying for more capacity than they need just to get the performance an application requires. ⚙️ Decouple capacity from performance. Everpure Cloud Azure Native lets teams independently tune capacity and performance, so they can align what they buy with what workloads actually need. 🧰 Keep operations familiar. The service is integrated with Azure tools, including the Azure portal, Marketplace, Azure Resource Manager templates, SDKs, and Azure CLI—helping teams deploy and manage storage without introducing another operational silo. 🔄 Modernize at your own pace. Whether you are running Azure VMs, Azure VMware Solution, or Azure Red Hat OpenShift, Everpure Cloud provides a common storage foundation for VMs and containers. 🛡️Efficiency should not come at the expense of data services. Data reduction, snapshots, cloning, encryption, and other enterprise storage capabilities are built into the platform. One of the most useful parts of the discussion was the practical deployment walkthrough. The core flow is straightforward: create the service, deploy a storage pool, and connect it to the application resource—all from the Azure environment teams already know. For organizations navigating cloud migrations, changing virtualization strategies, or container adoption, this gives you another option: move workloads without being locked into a one-size-fits-all storage model. Catch up on the session 🎥- HERE 💬 What is the biggest storage challenge your team is working through in Azure: cost control, operational complexity, VM migration, or container modernization? Share your perspective in the comments.23Views1like1CommentPureKVA v1.2 now GA
Pure KVA (Key-Value Accelerator) is an enterprise AI solution designed to speed up large language model (LLM) inference by storing and reusing precomputed attention key-value states. Want to learn more about PureKVA and what it can do for you? Check out the link here for more information and how to get started: https://support.everpuredata.com/r/pure-kva/pure-kva-overview-and-architecture Version 1.2 is now available for download. Check out the highlights of what's new below. What is new in v1.2 PureKVA v1.2 adds the following capabilities: Containerized deployment in Openshift/Kubernetes S3 and S3overRDMA support Multi-tenancy with storage isolation support Three-tiered memory architecture for improved performance Nemotron model support PureKVA now supports offloading TurboQuant-quantized KV caches for vLLM. Get v1.2: https://support.everpuredata.com/r/pure-kva/pure-kva-release-v1-2Does anybody actually buy business services from unsolicited emails or LinkedIn messages?
I’m genuinely curious. Like most people, I get a steady stream of messages from people I’ve never met offering consulting services, lead generation, website help, recruiting, AI solutions, financial services—you name it. And I realized recently that I can’t remember ever responding to one, much less actually buying something as a result. But somebody must be doing it, right? Otherwise, why would there be so much of it? Have you ever hired a company or bought a business service because of an unsolicited email or LinkedIn message? If you have, what made that particular message work when most of them are so easy to ignore? I’d especially be interested to hear from people on both sides—buyers and people who use outbound outreach as part of their business.Does anybody actually buy business services from unsolicited emails or LinkedIn messages?
I’m genuinely curious. Like most people, I get a steady stream of messages from people I’ve never met offering consulting services, lead generation, website help, recruiting, AI solutions, financial services—you name it. And I realized recently that I can’t remember ever responding to one, much less actually buying something as a result. But somebody must be doing it, right? Otherwise, why would there be so much of it? Have you ever hired a company or bought a business service because of an unsolicited email or LinkedIn message? If you have, what made that particular message work when most of them are so easy to ignore? I’d especially be interested to hear from people on both sides—buyers and people who use outbound outreach as part of their business.AI & Data Discovery
Would love your take on this GovLoop piece from my colleague, JimWeaver (former WA and NC CIO, ran NASCIO). One line that really stuck out to me: in a legislative hearing nobody asks if the model works. They ask where the data came from and who touched it. His first AI move in North Carolina wasn't buying a model. Instead, it was about data discovery. What do we have, where does it live, how clean is it. Has anyone here done similar data discovery efforts? How long did it actually take, and what surprised you? https://www.govloop.com/community/blog/building-an-ai-ready-data-foundation-for-state-and-local-government/122Views2likes1CommentBuilding the data foundations for the era of AI-powered banking
Everpure sponsored MoneyLIVE North America in Chicago on September 14 and 15. Mike Russo and Richard Galvez co-hosted a roundtable on building the data foundations for the era of AI-powered banking. Richard also joined a panel on whether data and AI can be harnessed effectively against fraud. Both sessions circled the same constraint. In banking, the hard part is rarely the model. It is whether the data underneath it is governed, current and trustworthy enough to put in front of a customer or a regulator. What is holding up your first production use case, the model or the data under it?13Views0likes0Comments09032026 - TechTalks Recap: Know Your Data and Trust Your AI 🤖
If you missed last week’s TechTalks, Ashish Gupta and I dug into a practical question many teams are working through right now: before you ask AI to make decisions with your data, do you really know what data you have, where it lives, and whether it can be trusted? The short answer is that AI-ready data needs more than a model and a prompt. It needs context. What you missed 👇 🔍 Start with visibility. Data is everywhere: business applications, file shares, email, SaaS platforms, cloud, and legacy systems. You cannot govern—or use—what you cannot see. 🏷️ Classify before you accelerate. Knowing which data is sensitive, stale, duplicated, or governed by a policy is foundational to making it safely available for AI use cases. 🧠 Context makes AI more useful. A customer record, an invoice, an email, and a policy document can be related—but only when the data has the right semantic context. That is what helps AI produce relevant, explainable results. ✅ Turn insight into action. The goal is not to lock down every dataset. It is to prioritize the right actions: reduce risk, meet governance requirements, and make the right data available for the right AI initiative. One point that stood out for me: data intelligence is not just an AI conversation. It is a practical way to improve visibility, reduce exposure, and make better decisions across security, governance, and infrastructure teams. Watch on demand 🎥 Want to see the examples and hear the full conversation? Watch “Data Intelligence Impact: Know Your Data and Trust Your AI” on demand. The on-demand session is 58 minutes and covers how discovery, classification, context, and governance can help establish a trustworthy foundation for AI. If you are starting an AI initiative, a good first step is simple: get a clearer picture of your data landscape. From there, you can decide what to protect, what to govern, and what is ready to put to work. 💬 💬 What is the first data challenge your team needs to solve before moving an AI use case forward? Let us know!154Views5likes1CommentAzure VM users — what’s your biggest storage challenge today?
Azure VM users — what’s your biggest storage challenge today? Cody_Hosterman shares some perspectives in the latest Pure Report podcast on Everpure Cloud Azure Native for Azure VMs. 🎙️ https://www.youtube.com/watch?v=TqJwrfWu7Vw What are you seeing in your environment?10Views1like0Comments
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