Can data centres thrive outside the grid?
Nexus, Publish By GHD.
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Where ideas connect.
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Hello,
everyone.
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This is part two of our podcast.
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In part one, we covered how infrastructure
constraints are driving innovation.
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Now we shift focus to what's next.
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What's the future look like?
What's the next frontier?
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And pleasingly today we're again
joined by hacks Sam and Ty.
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So thanks for staying with us
to continue the conversation.
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Welcome, guys.
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Hello. Good to be back here.
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So in this episode,
we're going to chat through
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the untapped
potential of regional data centers.
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And AI inferencing hubs.
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We'll look at how these emerging models
are enabling latency
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sensitive applications and reshaping
infrastructure investment strategies.
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And it's something that I think
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is, really a nice bridge
from our previous episode
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where we looked at how technology
is really driving innovation and the rise.
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And, you know,
I was kind of quite exciting
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at the end of that to hear about,
what the future might hold.
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But I also think that there's a big future
that we didn't discuss, which is looking
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at some of our regional locations,
which perhaps traditionally
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haven't been the focus in the market.
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The market has primarily been
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focused in big city
locations, often for latency reasons.
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But, you know,
I think that we are seeing a big shift
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to the opportunities
that are available in regional locations
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for things
like AI training, as one example.
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But maybe to start with you, Sam,
are you able to
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perhaps give us some insights
as to why regional locations are becoming
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more and more viable for our data centers?
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I guess this does link quite nicely to,
the previous discussion we had, but,
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the regional appeal is coming
because, the resource
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availability in the central
populated cities is diminishing.
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So, with
I guess, lack of access to the approvals
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for development, land,
water, energy in the cities.
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Then, you see these,
developers are looking elsewhere
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for solutions to satisfy that demand.
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So that's where they cost
the net larger and broader,
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and they find out where, the markets
that don't require
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the immediate service of inner city,
connectivity,
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they become a viable customer
in these regional locations.
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Yeah. It's interesting.
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I also think one of the other things
that I am personally keen to say
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is that making sure we don't get like a,
a great digital divide
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where it becomes sort of, you know,
those that live in cities have access
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to the greatest, technology
and AI infrastructure,
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digital infrastructure
compared to those in the region.
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So that's the other pleasing thing,
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is to hopefully enable
that for the regional communities.
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And that's a great point
because, connectivity
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in regional zones
is increasing incredibly quickly.
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The interconnections between countries
are, increasing at an incredible rate.
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And internally,
infrastructure developments are now
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including high, connectivity for,
these restricted access areas.
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But, what we are trying
to, use as our target market
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is that regional interest
and finding a demand where we can connect
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to landfall locations with quite a small,
latency and still provide
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a reliable, connected service
that can satisfy that, regional demand.
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So, okay, that's quite interesting.
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So you're finding that
the regional component offers
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the opportunity to connect closer to it,
where there's nowhere near regional area
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to achieve the latency parameters,
because your
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your nearby regional town
or regional area.
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Yeah, it goes down to, physics.
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And forgive me for,
not being too technical
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on this topic
and asking that jumped in, but,
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I've got the great reference
that, we're looking at Fiji and would love
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to, have our breakout,
development there.
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And, we've got a round trip
of 30 milliseconds from Sydney.
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And so that's a service
that, really is quite functional
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for quite a lot of different
consumers of data,
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which is where we targeting
to, build up our customer base.
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Super interesting.
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I think it's fantastic
because also with the shift away
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from the big city centers and also,
you know, looking to advance manufacturing
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and build communities
and sort of the old haven't spoke model,
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we need to be able to provide
the digital infrastructure
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to enable those cities
and communities to thrive.
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And so I think that's the opportunity
there to,
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you know, not just for private investment,
but for government
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to start to incentivize investment
in regional locations, to really make sure
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that the industry is keeping pace
with the rest of the globe.
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And I guess on investors tie, I'm
interested to hear from your point of view
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and what you've been seeing in the market
around some of the opportunities
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that investors can unlock the value
in regional locations.
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There's so many things
you could potentially unlock,
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but I mean, how
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when you
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when you think about like communities
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and landlocked areas
or infrastructure investors,
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like when they use the word value,
what do you think they mean
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in terms of from an investor perspective?
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I think it means long term
sustainable returns and having their brand
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associated with some positive change
for society in the world.
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So I think it's a mix of those.
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And I think if you look at this
AI space over the next five years or so,
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it's going to be the biggest deployment
of capital in human history.
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And so the early investors who I think
deploy capital wisely
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will get very good returns and be able
to sort of grow exponentially with this.
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You know, we're just starting
with really early in the race.
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And I think, as Andrew mentioned,
we need to make sure the digital divide
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isn't there.
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And if you look at the growth
of usage of ChatGPT
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or other models we're at,
that's about a billion people using them.
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There's 8 billion people on the planet.
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And I think all these efficiencies
are happening are fantastic.
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And I think we need to go further.
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You know,
we need to reduce the cost of these models
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from $200 a month for the high end ones,
or $20 a month for the regular
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use ones, down to $2 or $0.20
for 8 billion people around the world.
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Regardless of you know which situation
they're in to be able to use it.
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And so we need to enable that
through efficiency.
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And technology is
the biggest efficiency driver you'll find.
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And we've seen this in the past.
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You know, the cost comes down
orders of magnitude.
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But the growth in terms
of users will go up.
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And I think providing that level of
intelligence to every human in the world.
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I'm really optimistic that there's
some smart young people around the world
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that are going
to create some magic with it.
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And I think that's our responsibility is,
you know, who's using behind the meat's,
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sustainable power,
putting the data centers in place,
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providing the GPUs,
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bringing down the cost of these models,
especially on the inference side.
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Is our responsibility
to better enable that future.
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And so I'm really curious,
once we get to 2030, 2035
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and hopefully we've got the cost down
to something like $0.20 a month for folks
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to use.
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It's going to be really interesting
to see what comes out of that.
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I want jump in on that one as well,
because I'm quite heavy
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in this topic currently.
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And one of the great synergies
that we have with ocean is that,
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we are looking at power generation
and data center provision as a bundle.
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If we can do data center
as a single service, fantastic.
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But for, the discussions around
infrastructure investment and development,
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they are still locked into thinking
infrastructure
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is energy, water
and other basic services to the community.
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Data is not an infrastructure
kind of thing.
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It's still just a telco investment.
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But linking that data into development,
into something that can underwrite
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the development of energy
as a massive development.
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Knowing that you've got a data center
providing a guaranteed consumer
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for X amount of years, that stability
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breeds more investment.
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And so, yeah, it's
kind of using the data center demand
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as a leverage to actually do
greater energy development
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that is going to service the community
where that development
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may not have been financially feasible
prior to that.
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Yeah.
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I think my Andrew, my colleague Salmon
Hawks have helped me answer that question.
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Yeah.
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One of the things we haven't touched on
is that, you know, in
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regional locations is the ability
to build closer to the generation.
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So looking at, you know, being able
to build closer to renewable energy
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sources, being able to build closer
to different water, supplies.
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And, you know, that enables things
like AI training to be done
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in regional locations.
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So those sorts of opportunities
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out in the regions to get investment into
AI training is huge.
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Also, just due to geopolitical challenges
at the moment and,
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where things are being built
and being invested,
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there's sovereign capability
with a lot of uncertainty in the globe
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at the moment,
being able to train your own capability
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and knowledge of data
and the ability to control data and to get
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smarter is is kind of become
a sovereign capability, if not already.
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So I think that, you know, being able
to do AI training on, on home
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soil in regional locations
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is going to be become more
and more prevalent across the globe
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and will not just be limited
to a select few nations.
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And look, we did just mentioned
latency there.
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And some of the, I guess, challenges,
but also opportunities in the regions.
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But one of the challenges
with regions is latency.
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But we might actually zoom back in
to the opposite end of the spectrum.
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And perhaps, Hawkes,
I might start with you just to talk around
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what ultra low latency is
and why it's important
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for data centers and what what's
the sort of some of the types of uses
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where ultra low latency
is going to be important in data centers?
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Yeah, absolutely. Andrew.
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So, I think as you mentioned,
there will be some regional
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and there'll be
some national capabilities.
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You know,
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I think there's general intelligence
and then there's sovereign models,
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as you mentioned.
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And geopolitics is providing
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another nuance on top of that, especially
with the rise of sort of nationalism
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in terms of ultra low latency,
where it becomes
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really important is on the
AI inferencing side.
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So inferences where AI is monetized,
that's where you deploy the models
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and people prompt them,
and that's where you pay the subscription.
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Whichever model you choose to use
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to be able
to get the replies to your prompt
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and the intelligence and tokens
that you need.
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So inference to scale
is going to be distributed.
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Being close to
I say users is really important
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in that sort of ultra low latency
and uses today I think are humans,
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but users in the future might be machines
and so really depends.
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Although we think about it as cities,
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it also depends on
what entities users are.
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So I think as we unpack that,
as we go forward as an industry,
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it's about being close
to whoever that user is.
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And we've found to be able
to deliver distributed
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AI and inference, you need a really
a standard rapid deployment model.
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You need something that's standardized
that you can play in multiple ways.
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And this is where the prefab model
does really well.
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And so the inference side to your point
is a data security piece.
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So you know,
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if you think about the sovereign models,
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the sovereign models
are going to be for national security.
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But there's also going to be civilian
capabilities as well.
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So a country will make available
government services
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to all of its citizens, essentially.
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And so that will need to be inference
for citizens.
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And,
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you know, returns will be significant
here in the sense of lowest risk returns.
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The sovereign models
and the sovereign deployments,
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I think will be most attractive
to investors, and then it will go down
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to investment grade, and then it's a more
of the more speculative stuff.
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Essentially.
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So ultra low latency data security
and investors is really all comes together
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with our inferencing around
general intelligence and sovereign models.
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Yeah.
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Just, as one example of the machines,
it's things like self-driving cars.
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You know, I certainly hope
that it doesn't take too long
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to make a decision
when something runs in front of the car.
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You certainly want
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the ultra low latency there
so that, a decision can be made by AI.
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Yeah.
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So I guess the other thing to,
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with you on the line heart is, you know,
what do you think?
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You know, sort of next wave of data
center projects with, like
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you said, speed to market, ability
to get projects online quickly.
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What are those
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sort of investors looking for
in the next wave of data center projects?
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Yeah, I think as we look at the next wave
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and as I mentioned,
we're early in this space,
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but it is going to be the biggest
deployment of capital in human history,
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as I mentioned.
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And so the early investors who get in
and pick the right bets, I would say,
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are going to do really well
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and probably have really
attractive returns in the longer term.
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It's almost like
we're at the start of the internet era,
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but it's going to accelerate
a lot quicker.
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What happened in 20 years
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and the internet is going to happen
in five years with AI essentially.
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So there's huge opportunities here
if investors pick the right places
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to back, essentially.
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And I think, as you mentioned
earlier, power is the biggest constraint.
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And so it's about
how do you get the most out of that power.
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And the way to get the most out of
the power is to be able to deploy the most
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tokens, deploy the latest Nvidia chips,
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and have data centers
that evolve with the speed of technology.
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And that's what we're focused on
is to be able to do that.
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And so whether it's behind the meter,
the power that Sam generating
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or this grid power,
you know, it's about saying, okay,
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we have a limited amount of power,
how do we get the most amount of tokens?
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And that's how you grow.
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Revenue
00;13;25;10 - 00;13;27;07
essentially, is the number of tokens
that you're able to deliver
00;13;27;07 - 00;13;28;29
and the intelligence
you're able to deliver.
00;13;29;02 - 00;13;31;07
So I think you need to make sure
you look across the whole chain.
00;13;31;07 - 00;13;34;10
As we've mentioned before,
the whole stack, the whole ecosystem.
00;13;34;20 - 00;13;37;21
And then also make sure
you find the right sort of models
00;13;37;24 - 00;13;41;02
and the right risk
adjusted, projects to get involved in.
00;13;41;23 - 00;13;42;03
Yeah.
00;13;42;03 - 00;13;46;11
And so I'm just interested in your views
as well, in terms of, where you see
00;13;46;18 - 00;13;50;00
the next wave of projects coming,
particularly perhaps
00;13;50;03 - 00;13;53;04
in some of those regional locations
and what it might mean for ocean Bay.
00;13;53;29 - 00;13;56;14
Certainly a portion of the market
that I'm watching
00;13;56;14 - 00;13;59;19
closely is the sustainable development
of these data centers.
00;13;59;23 - 00;14;03;18
So we're seeing constriction
in all major cities.
00;14;03;21 - 00;14;07;10
The bottlenecks are stretching,
and that constriction
00;14;07;13 - 00;14;09;21
isn't going to go away
until the demand goes away.
00;14;09;21 - 00;14;14;06
And, I mean, Hawks is pretty confident
this demand is here to stay, and I agree.
00;14;14;20 - 00;14;20;08
And so the next wave is moving
to the tiered structure of deployments
00;14;20;11 - 00;14;25;11
of data centers that, not reducing value
for the communities around them,
00;14;25;13 - 00;14;29;28
that they're not impacting the resources
required for everyday life.
00;14;30;11 - 00;14;33;00
And, adding that extra value.
00;14;33;03 - 00;14;36;02
And really,
that's that's what we are targeting.
00;14;36;02 - 00;14;38;05
We are trying to target,
00;14;38;05 - 00;14;41;02
the demand that is growing
at these regional data centers.
00;14;41;05 - 00;14;42;27
They're being pushed
out of the major cities.
00;14;42;27 - 00;14;46;00
They're they're being sent
to locations that
00;14;46;03 - 00;14;49;07
people kind of go, well,
we don't have the power available yet.
00;14;49;10 - 00;14;51;24
So we got, you know,
what are we going to do?
00;14;51;24 - 00;14;53;22
We want the data,
but we don't have the space.
00;14;53;22 - 00;14;56;13
We don't have the energy,
we don't have the water.
00;14;56;16 - 00;15;00;25
And, Ocean Beat wants to be there saying,
well, we've got a solution for that.
00;15;00;28 - 00;15;05;00
And it's baseload renewable energy
and we're not going to take any land.
00;15;06;01 - 00;15;08;14
I think
I'll just add to what Sam mentioned there.
00;15;08;14 - 00;15;12;10
From an investor perspective,
there's about $70 trillion,
00;15;12;13 - 00;15;17;08
which is going to pass from baby boomers
to Gen Z in the next 20 years.
00;15;17;24 - 00;15;21;24
And the idea is that that $70 trillion
as it pass to the next generation, that
00;15;21;27 - 00;15;24;26
that would be invested
in more of the ESG, sustainable,
00;15;24;29 - 00;15;28;10
renewable
kind of opportunities, projects and funds.
00;15;28;13 - 00;15;31;13
And so there's a huge amount of capital
which is going to transfer
00;15;31;21 - 00;15;32;29
and be invested in these areas.
00;15;32;29 - 00;15;35;29
So I think you will see
that capital will flow over time as well
00;15;36;02 - 00;15;39;04
into this spaces,
and it'll become more of the norm now.
00;15;39;06 - 00;15;40;20
I think one of the other things that we
00;15;40;23 - 00;15;42;25
perhaps haven't touched on,
and just before we move to
00;15;42;25 - 00;15;46;04
finalize, is the reason why
there's a demand for data centers.
00;15;46;07 - 00;15;47;26
And you know why the data centers exist.
00;15;47;26 - 00;15;51;19
It's because it's going to enable progress
of the human race.
00;15;51;22 - 00;15;54;06
And it's a really important
it's the next evolution.
00;15;54;06 - 00;15;56;10
And it's really exciting to be part of.
00;15;56;10 - 00;15;59;15
And I think the challenge
and the opportunity at the same time
00;15;59;18 - 00;16;03;18
for all of us is what is the role
that we can play to enable
00;16;03;21 - 00;16;06;24
that change and the legacy that we leave
for the next generation.
00;16;07;03 - 00;16;07;21
As you mentioned,
00;16;07;21 - 00;16;11;12
hock $70 trillion worth of funds
being passed from the baby boomers
00;16;11;15 - 00;16;14;27
to the next generation, and certainly
a significant portion of that will be
00;16;15;07 - 00;16;18;24
on digital infrastructure to enable
that productivity and efficiency.
00;16;18;27 - 00;16;22;02
So it's a really exciting time,
for all of us.
00;16;22;05 - 00;16;26;28
And I guess with that, I'm keen to hear
if you had $10 billion,
00;16;27;01 - 00;16;31;04
so $10 billion, pick a currency,
let's call it US dollars in the industry.
00;16;31;07 - 00;16;34;01
Where would you be investing?
So you've got $10 billion.
00;16;34;01 - 00;16;35;04
Where would you invest?
00;16;35;07 - 00;16;37;17
I'll start with you, Sam.
00;16;37;20 - 00;16;41;10
So I did introduce myself
as a co-founder of a, startup.
00;16;41;15 - 00;16;44;14
So, no, I want to take that out.
00;16;44;17 - 00;16;48;12
To be fair,
I would be looking at the strategy
00;16;48;15 - 00;16;51;27
of the standardization
and prefabrication and,
00;16;52;26 - 00;16;53;13
maybe I'll.
00;16;53;15 - 00;16;57;05
If I had that 10 billion,
maybe I'd try and, come across the pond.
00;16;57;19 - 00;17;03;08
But, I think that is increasingly
the required strategy to be
00;17;03;11 - 00;17;06;23
the best in field is ensuring
that you've got a standardized,
00;17;06;26 - 00;17;11;13
repeatable process that ensures
that you can get the best efficiency
00;17;11;16 - 00;17;15;24
out of that construction
phase, reduce lost time,
00;17;16;11 - 00;17;19;18
and really just ensuring
that you've got best in class, fast
00;17;19;21 - 00;17;24;27
development, capable,
tied in with a solution that brings
00;17;25;00 - 00;17;27;29
in that social license
to continue to operate because,
00;17;28;03 - 00;17;29;24
you know, fast development is great.
00;17;29;24 - 00;17;33;16
But without that continued social losses,
that $10 billion is not coming back.
00;17;33;28 - 00;17;35;09
Well said.
00;17;35;12 - 00;17;38;11
And tie,
where would you invest $10 billion.
00;17;38;14 - 00;17;40;29
Yeah, $10 billion is a lot of money.
00;17;40;29 - 00;17;44;07
But it sounds not like a lot
compared to the 70 trillion
00;17;44;10 - 00;17;46;05
that's about to be transferred
from one generation
00;17;46;05 - 00;17;47;25
to another, or indeed the multi-trillion
00;17;47;25 - 00;17;50;00
that's going to be spent in the next
ten years.
00;17;50;03 - 00;17;53;03
Can I cheat
and give five to Sam and five to Hawks?
00;17;53;22 - 00;17;55;24
But that's cheating for me.
00;17;55;27 - 00;17;58;03
I do, you shorten. We're sorry.
00;17;58;06 - 00;17;58;17
You're right.
00;17;58;20 - 00;18;01;11
No, no. But, that's cheat answer. But,
you know, maybe.
00;18;01;11 - 00;18;05;07
Is there something in,
like setting up a, a global competition
00;18;05;18 - 00;18;10;16
where the person who gets to a P of X
Hawks in number?
00;18;10;21 - 00;18;14;11
What's a magic number
that you'd love to get to in terms of P or
00;18;14;13 - 00;18;16;04
in terms of investment? P.
00;18;17;08 - 00;18;19;10
It needs to be less sub 1.1.
00;18;19;13 - 00;18;20;04
Yeah. Right.
00;18;20;04 - 00;18;25;12
So the first person that can get to 1.05
gets $10 billion.
00;18;25;27 - 00;18;28;04
Sam, what's the P of I should be.
00;18;28;07 - 00;18;28;15
Yeah.
00;18;28;16 - 00;18;32;06
Well, I was just going to say
when the power that we're generating is,
00;18;32;09 - 00;18;38;06
for moving a lot of seawater that is,
coming out at the system at 17°C,
00;18;38;09 - 00;18;42;05
we have excess cooling that requires
no energy to move it
00;18;42;08 - 00;18;45;08
because we've consumed it
in the power generation cycle.
00;18;45;17 - 00;18;47;28
I believe we are very close to one.
00;18;48;01 - 00;18;49;21
Therefore, you might win the 10 million.
00;18;49;21 - 00;18;51;20
Congratulations
00;18;51;23 - 00;18;53;23
with great competition to.
00;18;53;24 - 00;18;55;29
I love it.
00;18;56;02 - 00;18;59;24
And Huck's interested from your point of
view where you would invest, $10 billion.
00;19;00;15 - 00;19;02;26
Yes. Andrew,
we did some maths on investment
00;19;02;26 - 00;19;05;23
required in the data center space
and in the AI space
00;19;05;26 - 00;19;10;04
generally, and to build a one gigawatt
data center, to just build a data
00;19;10;07 - 00;19;14;09
center is about $12.5 billion to fit it
full of chips
00;19;14;16 - 00;19;18;11
and GPUs
is probably another 30, $35 billion.
00;19;18;29 - 00;19;21;21
And so to have a gigawatt of GPU cloud
00;19;21;21 - 00;19;24;20
is in the order
of about a $50 billion check size.
00;19;24;23 - 00;19;28;27
So I'd come back to you and ask for five x
what you're giving me and say I would,
00;19;29;06 - 00;19;33;26
I would build a gigawatt
GPU cloud powered by renewable,
00;19;33;29 - 00;19;38;08
sustainable energy
and ideally supporting some sovereign
00;19;38;14 - 00;19;42;10
AI workloads, which is the lowest
risk from an investment perspective.
00;19;42;21 - 00;19;45;21
And hopefully,
like you said, giving everybody
00;19;45;26 - 00;19;48;18
Einstein
level of intelligence in their pocket
00;19;48;21 - 00;19;52;19
and then seeing what does that enable
and what does that give to humans
00;19;52;22 - 00;19;54;24
around the world. Nice.
00;19;54;27 - 00;19;59;14
For what it's worth, I'd be picking
some communities in need and investing
00;19;59;17 - 00;20;03;21
co-locating data centers
with some community benefits alongside it,
00;20;03;23 - 00;20;06;09
so that we really change
some of the narrative around
00;20;06;12 - 00;20;09;04
data centers at the moment,
because I think the industry needs it.
00;20;09;07 - 00;20;12;26
And I think that being able to demonstrate
that data centers can give back
00;20;12;28 - 00;20;15;10
to the community
and be a really fundamental part
00;20;15;10 - 00;20;18;13
of the future for the next generation
and the legacy that it leaves
00;20;18;16 - 00;20;19;23
is is really important
00;20;19;23 - 00;20;20;26
because we're not going to change
00;20;20;26 - 00;20;22;19
the world of data centers with 10 billion,
00;20;22;19 - 00;20;25;20
but we will change the lives
of a few communities that really need it.
00;20;25;22 - 00;20;27;29
So that's where I've been visiting
AI 10 billion.
00;20;27;29 - 00;20;30;18
But,
look, we're unfortunately out of time,
00;20;30;18 - 00;20;33;18
but it has been an insightful
and amazing discussion
00;20;33;29 - 00;20;35;05
and we could have talked for hours.
00;20;35;05 - 00;20;36;15
I think it's been fantastic.
00;20;36;18 - 00;20;41;14
And we started with some of
the opportunities in regional locations,
00;20;41;24 - 00;20;43;04
and then we've moved to
00;20;43;07 - 00;20;47;06
some of the specialist examples
where speed to market is really important,
00;20;47;09 - 00;20;52;08
which is things like AI inference,
low latency locations and the benefits
00;20;52;11 - 00;20;56;29
that prefabrication
can bring to data centers with also
00;20;57;06 - 00;21;00;14
the license ocean bid with PPAs close
to one
00;21;00;22 - 00;21;03;19
that bring very sustainable solutions
to those regional areas.
00;21;03;22 - 00;21;06;08
And it's been a fascinating discussion.
00;21;06;11 - 00;21;07;06
Thank you Ty.
00;21;07;09 - 00;21;10;07
Thank you Hawks. Thank you Sam. You Andrew.
00;21;10;10 - 00;21;12;02
See ya, bye. Thanks, Andrew.
00;21;16;18 - 00;21;19;18
Brought to you by Nexus, Publish By GHD.
00;21;19;26 - 00;21;21;00
Where ideas connect
Short, sharp points of view on:
- What makes regional sites viable for AI workloads
- How prefab builds and bundled services reduce setup time
- Why investors are backing sustainable infrastructure outside cities
- How regional access supports equity and resilience
This conversation shows how regional data centres are driving new forms of community value and inclusion.
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