 the high level view. So the company is a little over three years old. We were very fortunate to get funding from the best VCs there are in the valley. So we have Sequoia Capital, Accel Partners. So Sequoia of course is funded by Google and everybody. Accel is no slouch. They funded Facebook and Riverbed and a lot of other successful companies. And then we have LightSuite Ventures as well. So these are our three VC funders. Top-rate VCs. Okay, so you attracted a lot of good VCs. And how much did you raise? So we've raised $33 million so far. So it's a nice base of capital. But going into the storage market is not for the... you can't do it on the cheap. It's not a... I mean it's a good amount, right? It's not a ridiculous amount. But it's you know, it's good to have. What's your head count now? So we're about 60 people. 60 people. Alright, so a good base. Where are you located? We're located actually not far from here. We are in San Jose. In northern San Jose there's a big technology area right here around Cisco. And you've got customers, right? You helped early on in acquiring some of those customers. Yeah, we have customers. Actually, we started shipping in Q3 of last year. And so at the end of the year we looked back. It looked like a tremendous year to us. And we looked back and compared ourselves to all the best storage companies we could find. NetApp, Data Domain, Ecologic. And we found that our initial ramp compared to their initial ramp was terrific. We'd actually beaten them all. So at least at this stage of growth, we are the fastest growing storage company that we know of. So that's great. So the challenges that we have internally is how do we scale this company? We know that the box is fitting within the markets. And now the question is how do we scale the company and grow? Because when you start scaling at this rate, everything breaks. So you're always fixing. So let's talk about the God Box for a minute, because this is really fascinating to me. So when I think primary storage, like you said, you think about the user doesn't want to make the user wait. You think about efficient storage. I think about things like storage virtualization and snapshots and thin provisioning. That was sort of the hot thing and maybe different protocols. So what's that? Let's start with the primary piece. What are the attributes that make your product? What do you call the product, by the way? It's called the CS series. So it's in storage. So it's a CS200. Currently there are two models, the 220 and the 240. So what makes it a best of breed primary storage device? Are you even going after a best of breed? Are you trying to be good enough in all three, or are you trying to be best of breed in all three? We can be best of breed, and so we are aiming to be best of breed in all of these. So let me tell you a little bit about the initial target market. The architecture is actually very broad. It spans the full market from low-end customers to very high-end customers. But we decided to start with mid-size enterprises. So what we're doing is... So you asked about how do we do the primary storage part and how do we do it well? So we have a layer of flash on top of disk, and there are a number of things we do well. So we use those multi-core processors I mentioned to compress data on the fly as it comes in. And now a number... In line. In line. Real time. Real time. And a number of companies have been talking about primary storage compression. We're the only company we know of that can do it, not just for your cold data, but also your hot data that is in use at the same time. Well, store-wise, right? So yes, store-wise is doing that with a hardware-based system. But there are some restrictions around how they do it. I'll tell you how what we do. But they're one. And then, I guess, would you include permabit in there? But there's just data duplication for primary. But those are really the only two that are real time, right? Right. Right. At least in terms of the major vendors, people like NetApp, who do primary storage or EMC, there are many more restrictions based around... You've got to be careful. I mean, the users we've talked to, they're very careful about how they apply compression in EMC and NetApp, whereas on paper anyway, permabit looks good, but they don't have any really commercial deployment. And, of course, store-wise, I think prove the sold IBM for 140 million. I don't know what happened since then. So they've done well. And I don't know where that product is going. But what we did is... I think it's going embedded, by the way, if I mean it's... Right. I think that's where it's got to go. And yours is embedded. I think you've got the right approach, the right model. The store-wise appliance model as a separate appliance is dead-end. We're not a box in front. There are too many failure scenarios. When you have a box in front of your regular storage, and it's expensive... It's another point of complexity that IT doesn't want to have to mention. Exactly. Ours is integrated in, but that's not all we do. So then we have the inline compression that sits on top of Flash. So we have a layer of Flash that acts as a cache. And so all your primary storage, it's large enough to hold your primary working set. So all your apps typically will run out of Flash. And that gives you really, really high IOPS. So that's where we excel in the primary storage space. In fact, users who have upgrade to our systems comment on how fast the system has become. Just because now they're running out of Flash when they used to be running out of this. So we're on the emphasis in the last, say, five years. And I think a company is like 3PAR, or even in the now, we're talking block here, a file or both. So we decided to start with iSCSI. So it's all block. Okay. All right. So when you think of, you know, the left hands and equal logic, I think real simple, you think, you know, highly virtualized, thinly provisioned, are all those attributes? They are all that's table stakes. These those are the table. So thin provisioning, cloning, snapshots, replication, each failover, those are all table stakes. You've got to have those if you want to work in any kind of enterprise primary storage. Space efficient snapshots, right? So you can do kind of the the net app approach of taking a CDP and then shooting it off. And now it brings us to the to the next tier, the backup tier. So by the way, I'm on record backup is busted, right? The backup model is so broken. It's complex. It's, first of all, it's insurance and everybody's overpaying for their insurance, right? And we're talking about a process that's a one size fits all process that's that's been architected 30 years ago for serial tape. It's broken. People your backup is broken. I know you don't want to change it. But you got to change it with virtualization and the whole IOS storm. It's got to change, right? Absolutely. And CDP, which I think is where you're headed, is is part of the answer, right? You take the continuous snapshots. Right? It's time. It's Apple Time Machine for the enterprise. Exactly. Okay, so this is I'm excited because you're you've got a product that does exactly what I've been saying, the market needs now. You've run out three years and I didn't even know about it. So I want to learn more. It is true. Tell us about those the second tier here. In fact, you know, data domain, our motto was tape sucks. And really, our backup sucks is right. That's our motto at Nimble. Good. That's great. So so what we do is so we we do take compressed snapshots. And this allows us to store 60 to 90 days of snapshots on our box. And it becomes much, much cheaper than data domain box where you've got to have a copy on your primary and on your on your secondary box. But then beyond that. So what this does is when you're using snapshots for backups, your backups complete much quicker. Now it's a snapshot instead of doing this massive copy of data from your primary to your secondary. And by the way, while that copy is happening, your primary is on its knees, you can't get any work done this way. You can shoot it off site. Right. Make it an asynchronous job. Keep taking your snapshots. Exactly. So our offsite box is actually an identical box to our primary. So we just take the the continuous snapshots and and send them over. And they're very beneficial because we've inline compressed the data. And so now what happens in a field over it's terrific because now the app can point directly to your replica. There is no need for this painful recovery process that you would have to go through with say a backup to disk box or a tape based system. You know, so your recovery time objectives are way better. You know, you go from days to minutes. Yeah, so I mean, there's so many trends now you got virtualization, putting a lot of pressure on on you know, IO, you got you got the business wants to lower RPO and RTO. Right. And and the broken backup process that we just talked about can't support that it's not sustainable doesn't scale. That's right. Right. Okay, so now a key here, as you said, is the multi core because you're doing a lot of work with the compression. That's right. So that's not free. That's from a CPU cycle standpoint. Right. But you know, the trends are our friend, you know, the more cores, the better data domain bet on on Intel, and it was the right bet. Right. Oh, this is fantastic. So you got to have you briefed wiki bond yet? You got to come in and brief us. Sure, we would love to make that happen. So David Floyer is our is our CTO. He'd have a million better questions than I have. But we'd love to learn more nimble storage, very interesting combining primary storage and backup and disaster recovery into a single solution, leveraging flash leveraging leveraging multi terabyte drives and leveraging multi cores to create a solution that is sounds very exciting. Really want to learn more and and would love to have you guys brief us and write you guys up and we would love to do that with our users. It's a phenomenal story. I really like the the approach. All right, cool. So Varun from nimble storage room meta. Thank you very much for coming on the cube. It was great to have you. Thank you, Dave. Watch this company. Well funded 33 million from the blue chip VCs out here. So we'll be watching. Thank you. Take care.