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Where to go now the Virtual Volumes are deprecated?
So the day has finally come that we need to begin planning to upgrade to the ESX 9.1 Platform, which means of course Virtual Volumes will no longer work at all. We have come to heavily rely on Virtual Volumes, and seeing that functionality go away is absolutely crushing. Everpure said last year when announcing this: There are a lot of projects that have now been accelerated due to this change and some engineering resources have already been committed to achieve this acceleration; other engineering resources are being committed for this work. To date I have seen no announcements about these other projects. Is there any alternative we have other than just going back to old-fashioned VMFS volumes?
Old Tech Tuesday
Welcome back! For this week, lets talk experiences. Key memories are typically associated with multiple senses. One great example is the resurgence of the clickety-clackety mechanical keyboards. What's sound, touch, or other sensory experience that unlocks a key memory? Mine is the sound of a dot matrix printer, where I had to print projects like hello_world.java from the sun microsystems computers in the basement computer lab.
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.
Curious about home lab or on-prem models
A friend told me to stop trying to squeeze local models onto my gaming PC and just buy the right box. So I did, and hoping not to regret it. Ordered a BOSGAME M5. Ryzen AI Max+ 395, 128GB unified memory, up to 96GB of it assignable to the GPU. Size of a hardcover book. I've been running LM Studio with models off Hugging Face. Fine for small stuff. So, people who've actually done this at home... What are you running besides LM Studio? What hardware did you buy and regret? Where does unified memory fall apart in practice? One ask. Human answers only. I can already ask a model what a model thinks. I want to know what broke in your house at 11pm on a Tuesday.Everpure Cloud and Azure Red Hat OpenShift: Why it is worth a look
Moving VMs to Azure does not necessarily mean modernizing them. For many organizations, the challenge is to keep existing applications running while finding a practical path toward containers, without creating another separate infrastructure stack. This is where KubeVirt and Azure Red Hat OpenShift (ARO) become interesting. OpenShift Virtualization lets teams run VMs alongside containers on the same platform, so they can adopt Kubernetes-based operations gradually rather than rewriting every application up front. Storage matters in this equation too. Everpure Cloud provides persistent block storage for this environment, with Portworx CSI connecting it to OpenShift workloads. Thin provisioning, data reduction, and snapshots can help teams make better use of storage and protect data, while storage capacity can scale independently of compute. The actual savings will depend on the workload and its data characteristics. When evaluating ARO for VM modernization, these are good places to start: Everpure Cloud Azure Native Documentation Everpure Cloud Dedicated Documentation Why KubeVirt makes "move and improve" possible Everpure Cloud and Azure Red Hat Openshift The main takeaway: moving VMs and improving the platform do not have to be separate projects.London... You're up next!
Are you coming to London Pure//Accelerate this week? If so, get excited because the Tobacco Dock venue is so cool. The team did a walk through this afternoon and I thought I'd give you a sneak peak at what you'll see when you get inside the gates. Pop into the comments on this thread and let us know what you're hoping to get out of Accelerate. Then, come find me in the Customer Lounge for your chance at the claw machine. (Just like in Vegas!) [ Housekeeping reminders: Please make sure you have your QR code to gain access prior to picking up your badge. There also will be a bag check prior to entering. And if you haven't registered yet, there's still time! Feel free to PM me if you have any questions. ] Cheers! Bri from the Community Team
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!09172026 - 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.PureKVA 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-v1-2
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The Everpure /Code community is where collaboration thrives and everyone, from beginners taking their first steps to experts honing their craft, comes together to learn, share, and grow. In this inclusive space, find support, inspiration, and opportunities to elevate your automation, scripting, and coding skills, no matter your starting point or career position. The goal is to break barriers, solve challenges, and most of all, learn from each other.Career Growth
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