Daniel Roberts
Analyst · B. Riley. You may proceed
Excellent I'm not sure what's going on technical issues we'll have a chat afterwards. Alright, so into the AI update. Thanks, Lincoln for [rounding out] (ph) the Bitcoin mining. Obviously, very exciting. So most of you aware that when we set out building this business, we built data centers. So we never built shipping containers, sea-cans, we never subscribed to the abandoned warehouse Model of mining Bitcoin. We built multifunction data centers from day one, capable of supporting different types of computing power. We signed an MOU with Dell Computing many, many years ago, about four years ago, four and a bit, to bring some of their customers and hardware out to our first site at the time. The market wasn't quite ready. We put it on -- focused on Bitcoin mining. And then with the roundup in AI last year, we dusted off the old strategy, went and ordered some NVIDIA H100s, have installed them in the same data centers, i.e. we unplugged the ASICs and we plugged in the GPUs, the same infrastructure, the same data centers, and we launched an AI cloud service. It's a highly complementary business line. We don't see it as competing with Bitcoin mining, we see it as additional and incremental to Bitcoin mining. And the key reason for that is the power consumption. As you can see in the chart on that right hand side, every $100 million of GPU expenditure is only using around 1% of our data center capacity that we'll have online this year. So we could go and spend $1 billion on GPUs tomorrow, run rate earnings from that would be somewhere in the order of $400 million plus based on market data and it would use around 10% of our data center capacity. So again, we don't see it as competing with Bitcoin mining, we see it as complementary and additional. Now in terms of cost of capital and optimizing it, we see this as a really important opportunity or inflection point for the business. It's no secret that Bitcoin miners have struggled to raise debt type financing. It's a volatile in commodity, it's been a volatile business -- but all of a sudden with the introduction of an additional earnings line and importantly an additional view on the collateral within the platform conversations with lenders are looking far more prospective in terms of -- terms of potential debt. To elaborate on that more, visualise yourself as a lender, you go up to your credit committee and they say you're lending to a Bitcoin mining business. What happens if Bitcoin goes to zero? Now most of us, if not all of us on this call, understand the probability of Bitcoin going to zero is very low. But that's not the point. Those types of questions get asked. So all of a sudden what's the secondary value of the infrastructure. Having now proven that our data centers can be used for alternate use cases, all of a sudden there's a collateral value in the data centers. The infrastructure, the land portfolio, the power connections as we know, which really opens up a very different lens for these credit funds and prospective debt providers. So this is something we're quite excited about pursuing. We're in a number of conversations at the moment. If the terms are right, we will pursue some corporate level debt financing, but equally given the accretion of continuing to use existing capital sources, as Lincoln went through a couple of slides earlier, we certainly don't feel the pressure to do this, so we'll make the right decision over time. The other interesting aspect to scaling the AI cloud service business, so far as capital is concerned, is there appears to be substantial demand for GPU financing structure. We saw CoreWeave announced a $2.3 billion GPU financing structure led by Blackstone. We then saw, only a couple of weeks ago, Lambda, another cloud service provider, secure $500 million in GPU financing. Again, we've now proven out our cloud service. We've had exceptional customer feedback from our customers. And importantly, we've got the PowerPoints. We've got the data centers. And the same cannot be sit for other cloud providers, certainly not all of them, where essentially they sit in the middle of a data center and the end customer, and they own the computers. And I think part of the feedback we're receiving and trying to dissect why it's been so positive, I think is down to largely two things. One is our vertical integrated platform, where we're not sitting in the middle of the data center and an end customer. So when the end customer wants to optimize some of their machines, they want to update some software, firmware, they want to do something on the ground in the data center, if you're simply a cloud service provider, all you can do is lodge a support ticket with the end data center and wait for them to come back to you. You're governed under [certain terms] (ph) of your Service Level Agreement. Now contrast that to IREN where the customer picks up the phone to us, our CTO, our customer service and all of a sudden they can do absolutely anything live time on site. We've got 24x7 people on site and we own and control everything all the way from the soil, the concrete foundations, the steel structures, the ventilation, the network cabling, all of the infrastructure, the software, the firmware layer. So it's very easy in relative terms for us to tweak, make adjustments and optimize the service offering for these end customers live time. The second element having received again really positive feedback around the performance of our clusters and you can see the quote on your screen around performance of one metric being 3 times bigger than any other hardware setup one of our customers has used and we've been trying to dissect why is this the case. We've set it all up properly and our theory something to be tested is that it's due to the rack density that we're operating under. So to step back traditional data centers, 80% of traditional data centers operate at 5 kilowatts or less rack density according to the Uptime Institute report. Nvidia GPUs require 40 to 45 kilowatt rack density based on their reference architecture. Now, if you're installing a rack in different rooms because you can't manage the power, you can't manage the heat in the ventilation, all of a sudden you've got these servers spread out across quite a distance within a data center. Now Jensen, the NVIDIA CEO, has been out there talking about things like the data center is the new computer and when you zoom out you think about over the last 10 to 20 years, a lot of the innovation in compute at a chip level has been minimizing and shrinking the gate width on the transistors to enable the signal to travel back and forth faster and more effectively. Extrapolate that out to the data center where all of a sudden these GPUs are now talking to each other to crunch training models to run these AI models and it stands to reason that if they're all spread out and there's a lot of latency between the GPUs go back and forth then there might be a lower performance as compared to someone like us who is operating 70 kilowatt rack density. So all of our servers are in one spot, it's all tight. So in theory the latency is very low, the signal is communicating very quickly. So it is possible that is leading to the exceptional service reviews that we are getting but we're testing that further to try and validate. In terms of the rest of the strategy on our AI cloud service we're currently testing the on-demand market. So we've proven the model with bilateral contracts and now we're going down the pathway of testing an on-demand service, which is really exciting because we believe we understand that there are a number of smaller users and a number of bigger users that don't want to sign contractual commitments medium or long-term for compute. It does deliver a much higher price for us versus a contracted relationship. Yes, it's at a higher risk. But for us using some of the servers to do this, to build relationships, to learn we're in the process of developing software actually to allow true burst up and burst down, such that essentially prospective customers can come onto a website, click a drop-down box and start utilizing our cloud service. So this type of capability will take our cloud service to another level and it's something that we're quite excited about. So in terms of the outlook for this technically we've proven it up, commercially it's looking really good with the likes of Poolside, the on-demand market and we're now in the process of working through the optimal way to scale this up further through capital, maybe it's GPU financing, maybe it's other sources. Now, on to a little bit about our power and land portfolio. So I mentioned at the outset that Will and I, when we set this business up, we had a view that over the next 10 years to 20 years the world was going to have a very large growing, exponentially growing demand for compute and power from renewable energy sources to power that compute. So developing power and land is something that doesn't cost a lot of money but it costs a lot of time. It takes years identifying sites, securing the sites, putting in grid connection studies, building out grid connections. It's something that historically has taken three, four, five years and now with the onset of a tremendous amount of demand from Bitcoin miners, hyperscalers, data center providers, we are being told that these timelines are getting pushed out five, six, seven years. So what does this mean? The opportunity for us has always been to organically grow into this capacity, but we're now engaged in conversations with various stakeholders that continue to triangulate and validate that this data and power crunch is real. Morgan Stanley, Goldman Sachs have all released reports in the last month. In fact the Morgan Stanley report went into some detailed quantitative analysis around what the value of having power and land was and they came up with a number of $5 to $12 per watt. We've got 3 billion watts so that implies a tremendous amount of value in the portfolio. Is it worth that? Is it worth something different? We have no idea but certainly this is the time in the market to start finding out. So we're undertaking a process to explore various structures, everything from prospective sales of some of our development sites to joint ventures over our development sites where we could build, own and operate some sort of shell, provide a co-location service, provide a cloud service. We're talking to a number of the technology companies, we're talking to a number of end investors, the large banks, and it's something that we're excited to pursue over the coming months. Ultimately again we don't feel any pressure to execute on anything specific here. We're in a great position to continue growing organically and utilize this power for our own purposes as a going concern. So on that note I'll pass over to Linc to continue with some financial summary before Belinda then takes over from him. Thank you.