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4:53 Video

Break Data Silos with FA//XL & FA//ST: One Platform for All

Run transactions, analytics, and AI on one high-performance platform. Pure FlashArray unifies your workloads, cuts complexity, and accelerates innovation.
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00:02
Hey everyone, I'm Anthonynosantino, senior principal Field Solution architect at Pure Storage, and I'm Andrew Silly Silifants. I'm a solutions director for data at Pure Storage. All right, Silly, let's talk about something that every enterprise data team is wrestling with right now. Let me guess. Trying to run real-time transactions,
00:21
analytics and AI all at the same time on infrastructure that wasn't built for any of it. Exactly that. You've got OTP, you've got Ola, you got AI workloads, each with different performance profiles, and teams are stuck running them on separate storage subsystems from a myriad of vendors requiring different skills, tools, and no integration between them.
00:39
Which means they're fragmenting their data, duplicating it across tiers, and spending all of their time firefighting performance issues and moving data between these platforms. Here's what I'm hearing from customers, operational drag is real. DBAs and storage admins are chasing bottlenecks across siloed environments,
00:58
instead of innovating, they're managing complexity. And that drag has real financial costs. When LTP latency drifts into the milliseconds, customers abandon carts. When analytics miss quarter closed windows, revenue recognition stalls. Or when your new AI workloads can't pull fresh vector data fast enough,
01:16
the customer experience suffers. Especially with real-time use cases like recommendation engines or fraud detection. Plus, with data sets exploding, you're forced to keep adding more arrays, more racks, driving up power, space, licensing costs, and complexity. It's completely unsustainable.
01:34
And it's slowing down the very innovation these teams are supposed to be driving with their data. And that's exactly why we built the Flash array XL and the Flash array ST. They bring all these workloads onto one all Flash platform so that you're not managing storage silos anymore, you're managing your data platform.
01:51
That's one platform that's built for speed, scale, and AI. Let's dig into the details. X-ray Xcel is the workhorse. It's built to collapse your LTP, OLAP, and AI workloads into a single tier with no compromises across multiple dimensions like performance and availability. We're talking about 45 gigabytes a second of read throughput,
02:13
7.4 petabytes of effective capacity in just 5 rack units in under 150 microseconds of latency, and a real 69 of availability. That's serious density, Anthony, and serious performance all in one box. So you're getting inline data reduction, replication, snapshots, all built in, yep, it's all built into the platform, silly,
02:35
so you're not spending your nights and your weekends tuning or babysitting performance or managing complex changes to the platform. Let's talk about Flash ray AST. This thing's a performance monster. Absolutely. This is your AI ultra high throughput engine that can feed your highest performance in memory database fast.
02:53
Looking at the numbers, we're looking at 10 million IOPs, 88 gigabytes per second of read throughput, 22 gigabytes a second of write throughput, and again, all in just 5 rack units. That's amazing. And here's the kicker. Plenty of products claim high performance, but they can't match Flash Ray ST with Pure's
03:11
proven enterprise grade resilience. Exactly that. With ST, you get the hero numbers and the reliability, plus the interoperability with the entire pure storage platform like Flash ray XL, X, C, and more. You can replicate data, you can take snapshots across the platform, accelerating access to your data where you need it when you need it.
03:31
So let's bring this home. What does this unified platform actually mean for customers? First up, consolidation savings. We're seeing customers double their transactional throughput per rack unit and cut their physical capacity needs for vector data by more than 50%.
03:46
2nd, we're seeing faster insights with sub-millisecond vector search and 23% faster analytics queries, your AI and BI workloads stay on schedule. It's storage at scale simply. And it's futureproof thanks to Evergreen subscriptions and non-disruptive controller upgrades. You can adopt new media, new protocols,
04:04
and new performance capacity without a forklift upgrade. So if your storage stack is slowing you down, whether it's OLTP, OAP, AI, or all three, the pure storage platform has a path forward. And with Flash ray XL and Flash RaST, you'll get the performance of multiple arrays, the simplicity of the platform.
04:23
And the futureproofing to grow with your data. No more silos, no more slowdowns, just unified high performance storage built for modern workloads. If you wanted to learn more, what would you do and where would you go? Well, silly, I'd reach out to your pure storage account team or head over to pureStorage.com.
04:42
I do want to thank you for your time today, Silly. Fantastic conversation about challenges with modern data platforms. And thank you.
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