Akamai Technologies Inc Goldman Sachs Communacopia + Technology Conference 2026
Review the key takeaways and the transcript of this earnings call.
Transcript
Preview the first fifteen paragraphs, organized by speaker.
All right. Good afternoon. Thanks so much to everyone for joining us at the Akamai session at the Goldman Sachs Communacopia + Technology Conference. My colleague, Max Gampl, and I are delighted to have on stage, Ed McGowan, CFO of Akamai. Thanks for being here, Ed.
Thanks for having me. A great conference so far, so thank you for doing this as well.
Oh, the pleasure is ours. Ed, you're in the middle of a very interesting inflection point for Akamai.
Yep. Give us a little bit of a download of the last 6-12 months when you all as an executive team realized that this network that you've built over multiple decades can now essentially be upgraded along with the compute assets that you have into something that is a next generation AI compute network.
Sure. Yeah, it has been probably the most exciting time since we first began. I have been with the company since 2000, and back then, demand was insane. Pretty much, the internet was just exploding.
Yeah. Incredible demand. We are seeing that now with AI.
We made a decision five years ago to get into the compute business, and we acquired Linode, and we always had this vision of, A, using it ourselves to start, because we were spending so much with hyperscalers, but to make that into an enterprise-grade network that would be comparable to using a hyperscaler. It may not have all the capacity and all the features, but it was an alternative, and we thought that, look, we can leverage a lot of what we have done over the years with our CDN network, leveraging a lot of the same teams that build some of the functionality, running the distributed platform, the operational teams, et cetera.
I think the big turning point for us is when we sat down with Nvidia about a year ago or so and realized that there is this big opportunity to lean into not only GPUs, but compute in a much bigger way, and start building out bigger locations and offering an offering for compute from large scale CPU and GPU deployments, doing things like post-training or support systems that go along with a lot of these big AI companies. Leveraging our platform all the way down to our MCS, our managed container service, where we are taking the Linode technology and slicing off part of the CPU that we are using for CDN and for compute to run companies' code to do things like manipulation of video and synchronization of video, doing live, real-time ad decisioning, and things like that.
It goes way beyond what we were doing before with functions as a service where you could do basic programming in WebAssembly or JavaScript. Now the customer has a lot more ability to do a lot more compute right out at the edge. So from core data centers all the way out to the edge.
Tell us a little bit about how you've been able to merge the best of the Linode assets with the best of the Akamai assets to the point where you're signing multi-hundred million dollar, multi-billion dollar deals.
Yeah. So it was really pretty simple. The first thing we did is we, over the years, built out a massive backbone. So we carry hundreds of terabits a second of traffic across our backbone. We stitch together our main CDN locations across the world. So we have this big asset that's connected up to all the locations that we acquired from Linode, and we built out another 20 or 30 or so sites that were initially 5-10 megawatts in size. So they could do a decent amount of revenue, a couple hundred million of revenue per site. All we're really doing is just now expanding those sites to be a lot larger.
We're leveraging the same teams that build the CDN network, that negotiate for colo, working with a lot of the same colo providers we've worked with in the past, and building out the platform to be able to take on all sorts of different chipsets, both CPU and GPU. It's been a relatively light lift in terms of investment in people and technology. It's been really just doing a lot more of what we're doing at a bigger scale.
Tell us a little bit more about how you go through a network upgrade cycle. What I'm getting at here is we sometimes hear the bear case that Akamai's network is built over multiple decades. It has a legacy feel to it, therefore it's not going to meet the performance and cost requirements of a frontier model today. Tell us how that statement is wrong.
Yeah. First of all, most of the 4,000 pops we wouldn't use for a frontier model. Maybe if they were using, say, there was a CDN application that was going alongside that, sure, we could use the- Different use case.
Exactly. Very different use case. In terms of what we're buying today for building out, let's say a customer comes to us and says they want 5,000 GPU of various shapes and sizes, or they want 10 million virtual CPUs or whatever, we're using the latest hardware, latest chipsets, et cetera. We have the visibility of getting a big order for multiple years, and it's just the most modern equipment that's necessary that performs very well. To the extent that it's at all connected to the network, if they're, say, running some code in the servers that we have for managed container service, that's all modern and usable today. We don't need to go and upgrade the network. There's no notion of saying, "Hey, we have to throw out what we've done and rebuild something else." We're just adding locations with more servers in them.
FULL TRANSCRIPT
Continue the full translated transcript in StockNow.
Access every statement, the English original, and speaker-by-speaker history with StockNow Pro.
View the full transcript with ProCall participants
3 people spoke on this call — only 1 are shown here.
PARTICIPANT LIST
View participant details in StockNow.
Log in to see executives and analysts, their roles, and complete speaking history.
Log in to view all participantsKeep exploring
