NetApp INSIGHT 2025: NetApp Data Engine & AFX Array | Tech Field Day News Rundown: October 15, 2025

SAP gets big queries. Nvidia is tapped by hyperscalers. We're going on a coca quest, flying down the slopes with Xite Tahoe.

Xperia goes Dutch. And we're gonna take a closer look at some of the hot news from NetApp Insight 2025 in this episode of The Tech Field Day Rundown. Hello, everyone.

You have safely arrived at the odds of October. Now that's not really a thing, it's just October 15th, and we're very happy to have you here on the latest edition of the E Tech Field Day Rundown. I am joined of course, by my favorite co-host, Mr.

Alistair Cook. Al. Hello again.

Hello and welcome. It's a, uh, lovely October here, at least. It's lovely today.

It's a bit stormy being full here in New Zealand. And, uh, we, we rather enjoy having an opportunity to come to you on, uh, well, food related holidays like National Swarm Day and National Cheese Card today. And, uh, as my friends in Minnesota tell me if they don't squeak, they're not authentic cheese curds.

So keep that in mind. Uh, but we're gonna squeak by with some great news because, uh, there's a lot of conferences going on this week, and there have been a lot of releases. Uh, and we're gonna try to bring you as many of them as possible and, uh, maybe give you a little bit of perspective on them.

In a surprise turn of somewhat semi openness, SAP has linked Business Data Cloud to the Google Big Query platform. This move will enable customers who have adopted the SAP Cloud platform to port data between their SAP and Google Cloud environments. More integrations are expected over time, and SAP is touting the move as an enabler for AI agents using a wider range of company data.

Al I hesitate to ask, but is there gonna be an egress charge for sharing all of this data? You know, I've not looked at the pricing models, and funnily enough that wasn't mentioned in the announcements that I could see. Uh, I gotta think that data transfer costs.

And so there'll be a cost somewhere in this. Uh, the product is called the BDC for big data cl uh, cloud Connect. And that allows this movement of data backwards and forwards between, uh, big Query and SAP's cloud platform.

Um, yeah, I, I gotta think there's some cost to moving that data. So hopefully it's, it's being done in a smart way. Um, the idea here is to get this unified data foundation and break down silos and unlock a, a new class of AI agents.

This is according to Thomas Curry and the CEO at Google Cloud. And, um, you know, there's a whole lot of the buzzwords that we hear and have heard for a long time. But I think one of the things I see in this is that we absolutely have had a series of vendors wanting to lock your data, your corporate data, your personal data into their thing to make you very sticky, very retained on that thing.

So it's interesting to see this ability to connect that data to other things, other places where you've also tended to get locked too. Uh, so I like this. I like the fact that I can potentially access my data that's stored in SAP from the Big Query side.

I'm hoping that's part of what we're allowing here, not just having your, uh, SAP environment, getting access and agent force getting access to your big query data. Um, this is often useful where companies have done mergers and acquisitions and ended up with multiple SAP sort of silos on the SAP cloud and want to connect them together. You'd think that there'd be native tools inside the SAP platform, but some of the, uh, analyst response to this is, wait, this is wonderful.

We can connect together our, our multiple SAP environments through Google. BigQuery doesn't seem a particularly sensible way to do it, particularly if there are those egress charges. Uh, we do hope that this will continue, that this, uh, openness to allowing access to data across different platforms will be useful for us.

And the more integration between the different silos of data that we're building up and different software as a service platforms and application platforms will be broken down a little more and we can get a more unified view of our data as an organization. Meta and Oracle are adopting NVIDIA's Spectrum X ethernet switches to power their AI data center networks enabling faster and more efficient training of massive AI models. Meta will integrate the switches into its Facebook open switching system to improve deployment speed and AI training efficiency, while Oracle will build giga scale AI supercomputers using Spectrum X platform and Vera Rubbin architecture designed for trillion parameter models.

Spectrum X Ethernet, uh, connects millions of GPUs with high efficiency and low congestion supporting hyperscale AI infrastructure and accelerating generative AI development across data centers. Wow, millions of GPUs and trillion parameter models. This is gonna sell a lot of network ports.

Yeah, as long as the network ports you want to use are NVIDIA network ports. So for those of you who don't know, spectrum X is NVIDIA's answer to why not ethernet, and it requires the use of DPU that are built by Nvidia and switches that are built by Nvidia that run a lossless ethernet architecture. Um, this ain't ethernet, not the way that you know it.

Yes, it runs over ethernet, but it is customized. It is a fabric, it is something that requires these dpu to be able to do IO offload and these switches. I don't think you're gonna be able to plug anything into them.

Y this to me is an example of where Nvidia really is going after the market. They are targeting the hyperscalers, um, meta introducing support for Spectrum X and FBOs. I don't necessarily know that that's gonna move the needle.

I don't know how many people are running FBOs already, because most of them have decided that Sonic is the operating system of choice that they would prefer to use. I, I guess that Oracle's, uh, wanting to displace some of their existing deployments of networking. Um, I actually wonder how much Arista networking this is going to eat up, uh, because they were kind of the incumbent in those hyperscale data centers, but it gives Nvidia a little bit of stickiness with their solution, right?

Because what you've offered for a very long time is this very vertically integrated stack. You buy the GPUs from Nvidia, you buy the hardware from Nvidia. Now why not just buy the networking from Nvidia?

And as long as you can get the data into the modeling system, it will run at flat out speeds across the backbone. Where I wonder if this is going to have an impact is outside of those hyperscale data centers where you're dealing with very green, uh, sorry, brownfield architectures that have a large deployment of Cisco HPE Nokia, um, you know, very traditionally sticky enterprise vendors, is NVIDIA's play going to be? Well, if you're already gonna buy the hardware from us to do all this ai uh, development work, you might as well use our network.

I remember when that was IBM's model with the Blade Center, right? You could buy the IBM Blade Center and you buy our switches and it ships out in one rack and you make it all work, except when you're trying to interface it with your existing network. And, and just so you know, that network is, uh, one that is referred to by the alter Ethernet consortium is Network one.

That's the user facing network. That's how the data gets in there. A little bit of network too as well.

So I, I'm, I'm a little bit curious to see how this ultimately comes across. Is this a sea change for people in the enterprise industry or is this an opportunity for Nvidia to sell to a group of customers that have the pocketbook to buy that technology from them? Ubuntu 25 point 10 is bringing a fresh coat of paint with an upgrade to Nome 49 HDR brightness controls, new accessibility features and modern apps like the Loop image viewers and the PT p Xis terminal.

Yeah, we'll go with that. It's built on the Linux kernel six point 17. It offers better security with TPM backed encryption, Intel, TDX support and arm virtualization.

If you're one of those fancy development type people, you're gonna get the latest tool chains for Python, rust Go and hopefully Visual Basic. Uh, well, you can probably feel safer because the rust based versions of pseudo and core UILs are included. All official Ubuntu flavors are updated and nine months of support are ahead of you with the next LTS release.

And this, uh, 25 point 10 release, of course, is known as the QCA release because we are still doing the thing where we're naming it after animals. Um, al other than me pronouncing a whole bunch of things in that, uh, read in wrong. What is your take on Ubuntu 25 10?

Well, it An interim release. It's important to recognize this isn't one of the long-term support releases. We're looking for early 2026 for the next LTS release.

Uh, so don't expect this to be what you run your system on for the next 20 years. Uh, there's some interesting elements in there of the full dis encryption using the TPM that's experimental. You know, that definitely doesn't seem like a, uh, long-term support kind of behavior to me.

Uh, these relatively short support, again, not non long-term support releases. The interim releases are a good place to test out new features, proof how they work, identify what's wrong with them so you can fix it before you hit the lts releases. So yes, these things should, should be out in front of, um, in front of customers.

Customers should be using this to learn a little more about where the future is. Uh, I don't think we've quite got Visual Basic for applications in here, although there is ANet, uh, experience on Ubuntu. Uh, so you absolutely can build VB net, just not good old fashioned VB on this, uh, movements towards, uh, rust based implementations of some of the core tools.

As you say, call U tools in sdo, that's a good thing. I, um, newer versions, these are things that often haven't been updated for a very long time. So it's good to see a, a pathway to more secure and more modern applications moving away from that idea that, that everything's resting.

Everything we build is resting on some little open source tool where they, uh, there is one maintainer for that open source tool. And when they go on holiday, no updates will possibly occur, uh, if they get hit by a bus on that holiday, we're in a lot of trouble. Uh, other things we've got in here, uh, some nice support for further, uh, virtualization, including nested virtualization.

Something close to my own heart as the ability to run virtual machines that are actual, uh, virtualization hosts themselves. So I don't need as many physical servers to mess around with virtualization. Uh, some nice pieces also on nested virtualization on ARM because arm development for edge platforms, particularly iot and edge platforms, really useful to have a virtualization, again, is a way of testing lots and lots of, uh, potentially virtual devices as you're going through testing.

Nice release lots of functionality in it, not for your mainstream primary production loads. Wait for the LTS release before you upgrade. Those Xite labs and Interface masters have launched the Tahoe 38 28 XAA one Rack Unit.

Smart Switch delivers top performance and efficiency for AI cloud and edge applications with 28 times 400 gig ethernet ports and 128 arm course. That seems like a pretty big edge. I think they're meaning the near edge that looks like a data center.

It offers four times the performance per rack unit at half of the power of competitors and fully programmable and limits compatible. The EXA support Ora supports AI inference cloud analytics, uh, distributed firewalls, and hyper hyperscale networking should start shipping to customers in Q1 2026 who should be quaking in their boots as this fast little unit starts shipping. I think that anybody who was trying to break into that edge inferencing market should really be concerned about this because 28 400 gig ethernet ports effectively, and when I remember al's, right, when we talk about the edge, we're not talking about like my home network here.

We're talking about the, the edge being kind of the CPE side of things. And, and this is maybe a little bit more up the chain than that. Uh, when you look at the, the release page for this, they're targeting cloud gateways, carrier net and load balancing.

Um, packet brokers, five and a half and six g terrestrial and satellite base stations, like they're, they're targeting the edge, being the edge of the provider's equipment. Now why would they do that? Because they realize that the amount of data that's being pumped out of that edge and being collected for munging through ai, uh, platforms is increasing dramatically.

And so they're hoping that they can essentially catch lightning in a bottle with a small, fast, relatively inexpensive appliance style switch that they can deploy down there. Again, 20, was it 24, 28, 400 gig ethernet ports. It also comes with 128 arm cores.

Why are you putting arm cores in a switch kiddos? Well, because a lot of the kind of oversight applications that we want to do to do all this edge data processing live on the switch now, um, it's fully Linux compatible. That means that you can run just about anything you want on it.

And a lot of these people are gonna be deploying these out there to do the kinds of aggregation that we need at the edge to be able to feed these things back into LLMs. So I think that Xite got something here. Now, the question for me is this, this going to be targeted at the provider market?

'cause it kind of sounds from the release, like that's what they're wanting to do. Or are they going to try to scale up to the hyperscale market? I think where you're gonna run into problems is, as we mentioned in a previous story, kind of fighting against the incumbents who would rather keep you out of there and that full stack offering that whole rack unit offering versus just a simple one, you switch, I think X site's gonna make some inroads with this device.

I think that they're gonna win over some of the, the folks who are a little less beholden to the label on the unit and a little more performance, uh, a little more concerned about the spec sheets and performance on the unit. And that should be able to at least kind of start a conversation. And I hope that that gives ex excite the breathing room that they need to be able to bring more of these to the market and kind of increase their presence in, in a variety of different areas.

The Dutch government has seized control of Chinese owned chip maker N Xperia, citing risks of sensitive technology transfer to the parent company, wing Tech under powers available from the availability of Goods Act, the Hague suspended wing tech CEO from n Xperias board and placed company shares under Dutch management. 63 billion back in 2018, called the Move Excessive interference driven by geopolitical bias. Xperia, a major producer of semiconductors for cars, electronics, and AI applications is now under Dutch oversight to protect critical technological knowledge to, uh, that is important to Dutch and European economic security.

Al this is the first time that we've seen a Western government step in to basically take hold of a company from a Chinese owned oversight committee. Is this gonna be a situation where it's gonna be kind of a, a tit for tat thing or are we thinking that maybe the Dutch are gonna try to head off that by effectively keeping the country in country, It's hard to see how it, it turns up as, as being a tit for tat. I mean, uh, I'm, I'm not sure that there are many, uh, Dutch owned companies in China that could be seized.

Uh, typically it's, it's very hard for a foreign country, um, owned entity to set up business in China, and it typically ends up being entirely Chinese owned, uh, part of, of the company. Uh, but it is pretty significant that this Dutch based company that was sold to a Chinese owner is now being essentially, uh, controlled by Dutch appointees, Dutch government appointees. Uh, the ownership hasn't changed.

It's not that the, uh, that it's been nationalized or seized, it's just that control has shifted and it's, it seems to be driven by the Dutch government feeling that, uh, wing tech were not allowing, uh, next barrier to follow proper Dutch legal processes and governance. And that's what they're calling it, uh, from the, the Dutch government side is basically saying the governance of this company hasn't been right, and we have to do something to protect the, um, the intellectual property that is valuable and keep that now our control. Uh, you could see a situation where the intellectual property that is part of this Silicon Foundry would end up in China, and then the foundry in, in the Netherlands, uh, gets shut down.

And that's probably not something that the Dutch government wants, both from the point of view of employment and, and revenue, but also supply of vital parts for car production and electrical appliance production. So I can see some perspectives on this, whether there's a real risk, it's a little harder to see. Uh, Washington, uh, the US government did nominate wing tech as being an one on the entity list for aiding China's government to acquire, uh, sensitive semiconductor manufacturing capabilities.

So there is some kind of feeling that maybe this was a, a push from the US or the, or the Dutch government as saying, no, it had nothing to do with the us. We made this decision entirely independently. And the, uh, United States had put the Wing tech on this, uh, entity list in December, 2024.

So there's a bit of separation between the two. Naturally. Wing Tech says this is a ridiculous overreach and there's no reason to, uh, to take this control.

And we were doing a great job of complying with all European, Dutch and, uh, Chinese law and, uh, this is a terrible thing. Yeah, well, as, as the reality, the Dutch, uh, parliament Dutch government decided that they didn't really want that much control of a Dutch company in from China at this time. How long it goes on for will be interesting to see whether there are some pushback from the company, particularly from Wing Tech towards Europe.

Uh, will be interesting to see over time. Re the, uh, full of CEO of VMware has joined Andreessen Horowitz as a general partner. He brings 20 years of infrastructure expertise and executive experience to the venture firm.

Rag left VMware following its $69 billion acquisition by Broadcom in 2023. He previously worked at Netscape under Ben Horowitz. Uh, this edition strengthens Andreessen Horowitz infrastructure and growth teams and helps the leadership, uh, gap that's been, uh, left by Scott Kapo leaving and the positions, uh, the firm to expand its influence in technology investments.

We're gonna see a new round of innovative startups in infrastructure. Is it time for that again? Oh, absolutely.

Anything you can slap AI on, they're gonna be putting their money into it because they're hoping to hit that slot machine handle One more time. I think that the value of what Ragu brings to this market is that he is able to at least sniff out some of the, um, pretenders to the throne, so to speak. Uh, when you are kind of instilled in the VC world in the, in the equity firm world, uh, you tend to hear the same pitches over and over again, right?

Like I I, I'm not gonna lie, everything you saw in Silicon Valley is a hundred percent accurate. Like, that's what makes it funny is, is that's just how people talk. And this is one of the values that we bring to Tech Field Day, right?

Is once we bring somebody into the room who actually knows what you are talking about and can go, wait a minute, it doesn't work like that, like that, that's not a thing that you can do. It tends to kind of cause a house of cards to collapse in on itself. Now if, if they really do know what they're talking about, that's not a huge deal, but you have to have somebody in the room with the experience to know that.

And I think Ragu has that because Ragu took over after Pat, uh, Gelsinger departed for Intel and basically guided VMware into that landing at Broadcom. Now of course, after that, Hawk Tan does not need anybody to help Hawk Tan. And so he, he wanted to go somewhere else.

And I had seen all the way back in July that they were kind of these, uh, rumblings that maybe Ragu was gonna go to, uh, Andreessen Horowitz because he used to work with Ben, uh, back in the Netscape days. And, and isn't it funny that we say back in the Netscape days, like it was from, you know, like the 1950s? Yeah, it's not, that was from the late nineties kiddos.

Uh, that's, that's how old navigator is. But you, you think about that and you think about that next round of funding because there is a crap load of money out there right now that's trying to get into that pie, but we all know that that money won't last forever, and there's potential for that market to contract a little bit. I'm not gonna say the B word 'cause people don't like the B word, but if the possibility exists that that market will contract, then a 16 Z needs to get as much money out of it as they can before things pop.

So having someone in the room who will know whether or not that unicorn that just came in has the ability to make a go of it or to be acquired versus someone who really is just blowing smoke is gonna be super valuable. And I'm sure that, you know, he's gonna have his great portfolio and he's gonna be able to make a lot of money for not only himself, but for them, and it should be good. Um, but it's good to see Ragu had a soft landing after, you know, everything that's been going on at VMware.

It's time for a closer look at something going on in Vegas this week, because among all the other conferences, it's NetApp Insight it. We have the latest news coming out of NetApp Insight just for you. com.

But we wanted to give you a sneak peek at some of the latest offerings from the storage Titan because the news is already starting to come out ahead of NetApp insight. Uh, first one I wanna start off with is NetApp's new AI data engine, which pre-process ONTAP data for use with LLMs and agents. It includes features for metadata management, data synchronization, data governance and data curation data, data data, data data.

It also includes a built-in vector database. Al, do you think NetApp having an AI data engine is gonna be a huge win? Well, I think for existing customers that, that are died in the wool, everything on tap, this is absolutely awesome.

Uh, lots of customer customers have liked on tap for a long time and have stored huge amounts of particularly unstructured data on there. That is great to feed into the AI system. So yeah, I think this is, uh, a really useful element of the, an approach.

Uh, be interesting to see to what extent it, it delivers AI as a service on top of it because we're increasingly seeing a desire for AI as a service rather than a, a series of pieces you can assemble together into your own AI solution in your own time with your own experts. So, uh, I'm, I'll be looking for a little more detail on what's being delivered there. One of the values of having the AI data engine actually nearest the storage is that capability to do that pre-processing, right?

That may not sound like a big deal to you, but do you know what, it sounds like a big deal to all of those ingress costs because that's one of the things that you're gonna be fighting against. And I know we brought up the egress ingress thing before, but that's one of the ways that cloud providers are finding, you know, we're not gonna charge you for your compute any more than we already did, but boy, you wanna move data around. I, I don't know about that.

So having something that can do this pre-processing that can kind of categorize and do all this important stuff or, you know, look at the data governance aspect of it, not let things off the box that shouldn't be off the box. You know, who likes that your auditors? 'cause your auditors really don't want that data even getting anywhere close to an LLM because I don't think that an auditor's gonna be like, yeah, yeah, that little line of code in there that keeps it the people from jailbreaking, the LLM.

Yeah, that's enough there. That's enough security. We won't worry about that.

I, I, I think though that you're absolutely right al you know this, there's, there's possibility here and, and I can't wait to see what they come up with. The other announcement I saw in there was the A FX arrays, the, uh, disaggregated storage array having the separation of essentially the, the front end that satisfies the IO from the scale out element that does the actual storage. And this is, uh, an architecture that we've seen before.

We've seen it in other storage, um, platforms that are particularly good for scale out workloads. So workloads like AI where there are huge number of different units, different, in this case, GPUs that will be wanting to access bits of data to pull in for training for fine tuning. So this architecture of separating out the capacity storage pool from the, the front end compute performance that that delivers the I io is awesome, uh, seeing its scale to, uh, 128 storage controllers and 52 storage enclosures with an exabyte of effective capacity, Hmm, x byte of effective capacity.

How much compression and DG are they expecting? Uh, definitely seeing the, the ability to have data compute those to generate more of that metadata and also that, uh, information that we, we might want to use in our AI systems over time. This is a nice thing to be seeing.

And then of course, it inherits a whole lot of onap capabilities. And so it's not like it's a build from the ground up, something completely new with a whole new set of interfaces. I like that.

Uh, particularly for those, again, died in the, in the wall, uh, fans of ontap. And those exist both inside, uh, NetApp as well as in customers. Here's, here's my take on it, Al, there are a lot of people out there who love their ONTAP boxes, right?

You know what? They don't like ripping them out, like wholesale, like, like to me it's like when you have to buy something because a little piece of it broke, right? Like, oh, uh, I don't understand why I have to go out and spend all this money.

And, and what NetApp is basically saying is, you don't like, if, if the controller starts lagging because it can't swap the data fast enough, go buy a new controller. The A FX is basically a modular system. Uh, do you need to, you need to scale it out.

Okay, cool. We got all these new DX 58 to compute nodes that we can, we can do to kind of, uh, front end your, your NVME storage arrays. I, I think that what they're hoping is that people who are trying to scale out for, let's, let's face it, AI operations, 'cause this is kind of an AI infrastructure company at this point.

Um, they're hoping that what's gonna happen is, is that these people are, are gonna scale these systems as fast as they can and as wide as they can. And then they're sticky. Because one of the things, if you want to go back in the annals of history to the cattle 6,500 from Cisco, one of the smartest things that they ever did with that box was making it so easy to rip and replace the pieces out of it.

Um, it's, it's really the switch of theses at this point that if you bought one on day one, the chassis is still as functional as it ever was. But the difference between when it was released and basically when it was EOL, 'cause it now is EOL, um, is night and day difference with, you know, supervisor engines and line cards and all kinds of other stuff. If NetApp can do that with a FXI mean, basically you've got a persistent, and I'm not saying persistent in the, the traditional sense of stuff stays where it's at, but persistent in the, it's hard to get this thing out of here, uh, kind of mentality.

Uh, one of the greatest things I ever heard from a friend of mine was this is the kind of weld it to a rack storage array that, that NetApp really wants to get in in front of people. Yeah, I think one of the, the elements is you just take away that decision point where they have to rip and replace everything, make it very easy to do, yeah, what we would call the grandfather's ax, replace the head twice in the handle seven times, but it's my grandfather's ax. Um, absolutely that's that kind of, uh, scale out and pour all of your data in here, but keep the identity of the cluster permanently, even though the elements that make up the cluster may change over time, uh, fits really nicely with some of the financial models as well of the expand or grow as, as you grow, uh, as you place more data in here, you just expand out that storage pool.

You don't have to acquire all of your capacity upfront, uh, as maybe you have some divestment, uh, some sale of, of parts of your business. Maybe you'll be able to scale back down again. Scale down of course is always more challenging on storage than scaling out.

Well, the good news is, is that all of the stuff that's coming out of NetApp Insight is gonna be featured on Tech Field a extra, because Steven is out in Vegas right now. I'm sure he's enjoying the weather. And, uh, we are gonna be hearing from him.

com, you can catch all of the videos. I, I believe they're gonna be posted on Thursday, which is the 16th. Um, you can watch all of the fun stuff that's happening there live, uh, but make sure that you pace yourself because coming up next week, there's more great stuff coming from Alistair.

Yes, get some good sleep over the weekend. Uh, take a bit of a relax, particularly enjoy the, uh, increasing warmth in parts of the United States because next week on, uh, October 22nd and 23rd, I will be in San Francisco hosting Cloud Field Day. We'll have, uh, a bunch of really interesting companies.

We've got outside computing back as one of our headlines, but also Pure Storage and Fortinet and HPE all be there along with my delegate panel. I have an awesome group of people coming in to join me for those two days. So, uh, watch out for us on all of your favorite locations across the Tech Field day and the wider TUM group as well.

The following week, Stephen gets another dose of West Coast where he is out for AI Field Day, October 29th from 30th. He of course, will have a wonderful time with some people who are doing awesome and amazing things using that AI stuff to actually deliver some value. Miraculous.

Take a little break. And then Tom, it's your turn to travel. It is.

How's that Ai goodness. Gonna get to the AI re inferencing clusters. That's right.

It's coming over the network and we are gonna be talking to a, a bunch of great companies at Networking Field Day, including Nokia, who is, uh, really starting to jump in with both feet on the AI front, and you're gonna get to hear all about the cool stuff they're working on. We have a lot of other great companies that are gonna be joining us. com, you can check out the lineup and see the schedule.

Um, we're gonna be finalizing that hopefully in the next week or so. And, uh, we can't wait to see you there because we've got some real smart delegates who are ready to just enjoy all of the goodness that comes with watching the bits flying back and forth as fast as humanly possible, or in this case, inhumanly possible. But we want to thank all of you humans for watching the Tech Field Day rundown.

You can always catch all of our new episodes every Wednesday as a YouTube video or your favorite podcast application of choice. I happen to be a fan of Overcast, but whatever you want to use, that's up to you. The rundown is being streamed on Techstrong TV as well.

You can catch us on other tech Strong and future and group programs, including my new podcast, the Security Boulevard podcast, which comes out on Tuesdays. I'm recording that with a rotating group of characters, uh, and you're not gonna wanna miss that. Uh, we hope that you'll be back next Wednesday to talk about all the IT news that was in the week before, and Al will be out next week.

But don't worry, I'm gonna have a fun co-host, uh, and it will not be AI generated no matter what the Sora watermark tells you. Uh, until then, for myself, Tom Hollingsworth, for Alistair Cook, for Corey, our amazing producer, and all of the other people that make this stuff possible, thank you all. Have a great week and we'll see you soon.