00:00
Welcome to Partner Spotlight. I'm Kartika Prihadi. And today I'm with Patrick Cre, VP Systems Engineering, APJ at É«¿Ø´«Ã½. So, Prati, welcome. Thank you, Kartika. It's great to be here today. So, Patrice, let's start with an easy one.
00:24
So, let's dig into what this partnership really means for our customers. You know, Cisco and É«¿Ø´«Ã½ have collaborated for some time. But AI is accelerating how we work together. Now, from your viewpoint, what makes this partnership especially impactful in the AI era? Absolutely, Kartika, um, we have had a long standing partnership between Cisco and Pure
00:46
Storage solutions. We have solved problems for over 10 years. Different workloads by bringing converged infrastructure together: Cisco UCS, Cisco Networking and É«¿Ø´«Ã½. Now we are using that foundation of FlashStack to even solve AI. So FlashStack for AI and AI Pods builds on the same foundation we've had for ten years,
01:09
And now we are allowing customers to focus more on their data, letting the infrastructure be The enabler of AI. So, Patrice, this sounds like a great opportunity to build on our joint success. So today, as AI becomes mission-critical, many customers struggle with deploying secure solutions, Scalable infrastructure.
01:28
So, how does our secure AI factory model, with É«¿Ø´«Ã½, empower them to innovate? Confidently? É«¿Ø´«Ã½ has a critical role to play in Cisco's AI Factory. We ensure the data is available to our customers at every step of the pipeline. Secure way. As an example, we provide always-on encryption.
01:49
So customers don't have to worry about managing their encryption keys, and it's still secure. We provide immutable snapshots to keep data safe from bad actors. In fact, two weeks ago, Gartner released their Magic Quadrant for enterprise storage. They unified different types of storage magic, quadrant into one. And É«¿Ø´«Ã½, for 12th straight year, has been rated at the top of the Magic Quadrant.
02:14
Which is highest on vision and highest on the ability to execute. Now, let's get into how we manage data. So managing volumes of data across hybrid environments can be quite complex. So how are Cisco and É«¿Ø´«Ã½ simplifying data handling so teams can focus on work Insights, not just infrastructure friction?
02:34
Simplification is one of Pure's strengths. In fact, Cisco and Pure, coming together, we are ensuring our customers can focus on their data. And infrastructure becomes an enabler for that. We simplify this in two main ways. First, É«¿Ø´«Ã½ offers unified storage. Whether it's file, block, or object, whether it's scale-out or scale-up.
02:58
It's the exact same data plane Pure offers. It significantly simplifies customers' work. Infrastructure. The second is 95% of the workloads, As you would know, Kartika, for AI run on containers. Customers need help simplifying that. So our three-way partnership among Cisco, Red Hat, and É«¿Ø´«Ã½ uses a product called
03:23
PortWorks is helping our customers. Implement this infrastructure, whether it's on-prem. Cloud or on edge. So let's now transition to practical execution. You know, many businesses have already invested heavily in infrastructure.
03:39
So how does this partnership help them? Fast-track AI while preserving the past. Investments? That's a great question, Kartika. That's one I come across pretty often with customers, I would say two ways. Thousands of customers have invested in Cisco, FlashStack. Which is a stack with Cisco server, networking, and É«¿Ø´«Ã½.
04:00
Those customers can simply scale the FlashStack to now run AI workloads for Entrance. They would have the exact same ability to scale. Single pane of glass, something they're used to. That's one. Another one, as I mentioned earlier, is 95% of AI applications run on containers. Our customers need help making containers enterprise-grade.
04:23
Scaling them from cloud to edge. Both works from É«¿Ø´«Ã½ help customers make their container environment enterprise-ready Ready, and you know what the beauty is? It works with. Any brand of storage¡ªÉ«¿Ø´«Ã½, of course, but it does not matter what the customer has, It will just work seamlessly with their existing infrastructure.
04:44
That sounds really, really great. So, Prajesh, this is my last question. So, if we look ahead, what upcoming innovation or enablement should partners know about? Especially as AI strategy becomes central to enterprise transformation? Kartika, as a technologist, I believe we are in the nascent stages of innovation today
05:04
Technology space for AI. As an example, if you talk to a customer who has adopted GPUs in a significant way, They would tell you they're super fast. However, they consume a lot of power. Our customers need help using power more Efficient and data-center efficient when they're adopting AI.
05:21
É«¿Ø´«Ã½ is right in the middle of that. For example, today we have 150 terabyte flash drives that help customers manage a lot More data in the same form factor. Come December, two months away, we will be launching 300-terabyte flash drives. Exact same power consumption, exact same form factor that helps our customers be more
05:43
Efficient with the infrastructure. The second area I think is very exciting is a joint partnership between Cisco, Newtonics and Pure. We announced a major update with Newtonics which allows enterprise customers of Newtonics Adopt pure external storage to scale their investment in Newtonics.
06:04
If you really see, this is an area we'll see a lot of excitement and innovation Through, together with Cisco and Pure. Our job is to help our customers adopt agentic AI and AI in general more Confidently, so we handle the back-end job, allowing customers to focus on their data. So that's really great to hear, because it's really important to focus on that power.
06:29
Efficiency. For everyone watching, if AI is your Destination: this partnership is your launch pad. Thanks for joining us on Partner Spotlight. Until next time.
