Tag: power grid

Prince Mario-Max Schaumburg-Lippe: Nvidia-Backed Firmus Plans $5.5B IPO at $30.6B Value

The Biggest AI Infrastructure IPO of the Year

The AI boom has a new kind of landmark deal. Australian data center operator Firmus plans an initial public offering of up to $5.5 billion, at a share price that values the company at about $30.6 billion. Reuters reported the details on October 5, citing a term sheet and people familiar with the matter.

If it lands, this will be the second-largest Australian-listed IPO on record, behind only Telstra’s $10 billion share sale in 1997. The bookbuild begins Tuesday, October 6, with the institutional close pulled forward to Thursday because investor indications have already come in well above the offering size. Trading on the Australian Securities Exchange is expected to start October 23, with the prospectus lodged October 12.

Bank of America, JPMorgan, Morgan Stanley and Morgans are leading the deal. Firmus itself declined to comment.

Who Gets the Shares

Here is the detail that tells you how hot this is: roughly half of the IPO, including the over-allotment option, is earmarked for existing strategic and financial investors. The company’s disclosed backers include Nvidia, Coatue, Blackstone and Jane Street. According to reporting on the term sheet, Nvidia holds about 7.2 percent, Coatue around 8.4 percent, and Blackstone roughly 6.7 percent, and the allocation lets them top up at the listing price rather than watch their stakes dilute.

The valuation math is dizzying. Firmus raised a $2 billion strategic equity round in August, with Nvidia and Coatue making follow-on investments and Blackstone and Jane Street participating. That round valued the company at about $10.5 billion post-money. The IPO price of A$11 per share implies a valuation of about $30.6 billion. Nearly tripled in two months.

Some of the money is already spoken for in the physical world. Proceeds are earmarked for GPUs at the company’s first data center in Batam, Indonesia, part of a previously announced plan to deploy 170,000 Nvidia GPUs at the campus.

What Firmus Actually Builds

Firmus is not a software company. It does not train models or sell subscriptions. It builds the physical layer the models run on: modular AI data center platforms, designed for high-density compute, with proprietary cooling and power engineering.

The footprint tells the story. The company has a presence in Singapore, one of Southeast Asia’s primary interconnection hubs, and a facility in Melbourne that demonstrates its platform can scale inside Australia’s enterprise and government digital ecosystems. The IPO proceeds will fund a global rollout of the modular platforms, multi-gigawatt grid interconnections, expanded manufacturing for cooling modules, and next-generation high-bandwidth hardware.

That list is worth reading closely. Land, power rights, cooling innovation, specialized modular design: these are the bottlenecks of the AI era. Chips get the headlines, but a GPU without power, cooling, and a building around it is a paperweight. The companies that control the physical layer are emerging as the critical chokepoints of the whole supply chain. Nvidia’s 7.2 percent stake is the industry’s way of admitting it: the chipmaker needs world-class places to put its silicon, and it is buying into the companies that build them.

The Infrastructure Supercycle

The Firmus listing is arriving in the middle of a historic capital wave. Goldman Sachs just raised its year-end 2026 US data center capacity forecast to 64 gigawatts, and analysts estimate US power demand from data centers will grow 38 percent this year. A Bain analysis projects annual AI infrastructure spending could reach $1.5 trillion by 2031, which would require the industry to generate around $6 trillion in yearly revenue to justify it.

Those are the kinds of numbers that make a $30.6 billion valuation look like the beginning of a cycle, not the end of one. Every model launch, every agent platform, every robotics round like FieldAI’s $700 million raise ultimately cashes out in megawatts. Someone has to build the buildings.

There is tension in the story, and it is worth naming honestly. Data centers face growing public opposition over electricity demand and local impacts; only a fraction of Americans say they would welcome one in their community. Firmus’s modular, efficiency-focused approach is partly an answer to that: better cooling and higher density mean more compute per megawatt, which is the metric that matters to grids and neighbors alike.

The Takeaway

A $5.5 billion IPO for a company that builds buildings for computers sounds absurd until you remember what those buildings do. Every frontier model trains and runs inside exactly this kind of infrastructure, and the self-hosted trend IBM pushed this week only adds to the demand: the more companies want AI running in their own buildings, the more buildings need building.

The Firmus listing is the market putting a price on the pick-and-shovel layer of the AI gold rush. Thirty billion dollars, tripled in two months, with demand already above supply. The next few years will test whether the revenue can catch up with the concrete. But the direction is not in doubt: AI runs on power, and power runs on companies like this one.

If you want to know where AI goes next, watch the power contracts and the cooling patents, not just the benchmark charts. The $5.5 billion number is the headline. The multi-gigawatt grid interconnections are the story.

Prince Mario-Max Schaumburg-Lippe: Japan’s $15B Bet: JERA, Dell Build 400MW AI Data Center

Japan just made one of the biggest AI infrastructure bets of the year — and the clever part isn’t the money. On October 1, the country’s largest power generator JERA, Dell Technologies, and UK-based AI infrastructure developer RHAELM signed an agreement to build a $15 billion hyperscale AI data center in Chiba, near Tokyo. The first facility: 400 megawatts of AI compute, described as Japan’s largest single-site AI infrastructure deployment.

But the money isn’t the interesting part. The location is. JERA is putting the data center next to its own Chiba thermal power station and supplying 400 MW of power directly for 15 to 25 years. The data center and the power plant, side by side. In an industry where getting grid connections can take years, Japan just skipped the line by owning both sides of it.

The power problem, solved Japanese-style

The AI era’s hidden bottleneck stopped being chips a while ago. It’s electricity. A single large AI data center can draw as much power as a small city, and grid operators from Virginia to Tokyo are being asked to connect gigawatts of new load on timelines the grid was never designed for. The result has been delays, queuing, and a lot of creative workarounds.

JERA’s answer is elegant: co-locate. JERA Global CEO Yukio Kani pointed to the company’s span of the full LNG value chain — “from fuel procurement and shipping… through to downstream power generation” — as the reason AI infrastructure can “come online faster with access to the large-scale, reliable energy it needs in a complex and fuel-constrained market like Japan.” Translation: we have the fuel, we have the wires, and we’re not waiting for anyone’s permission queue.

Dell brings the other half: standardized, rack-scale AI infrastructure. The facility is expected to come online in phases starting 2028 and reach full capacity in 2029. Apollo Global Management is lined up as the strategic investment partner for RHAELM. And the companies say this is just the template — the plan is several gigawatts of AI data center capacity nationwide in the 2030s, using JERA’s other power stations.

Why this is a national model, not just a building

That’s the part worth underlining. The agreement isn’t just for one site; it’s to develop a standardized national-scale model for AI infrastructure. Once you’ve proven the template — power plant plus data center, standardized Dell racks, long-term power contracts — you can stamp it out wherever JERA has a station. It’s infrastructure as a product line.

And it’s international by design: Japan’s biggest generator, America’s biggest enterprise hardware company, a British AI infrastructure developer, and American private capital. The sovereign-AI buildout across APAC keeps accelerating, and this is its largest single commitment yet — proof that the AI capacity race is now a power-industry story as much as a chip story.

The two sides of the power question

There’s a nice symmetry in this week’s news. On one side, Japan is building $15 billion of new capacity by marrying data centers to power plants. On the other, new efficiency platforms are squeezing up to 50% more compute out of the power envelope that already exists. More supply and better utilization, arriving in the same week.

Both point the same direction: the industry has stopped pretending electricity is someone else’s problem. The winners of the AI infrastructure race won’t just be the companies with the best chips or the best models. They’ll be the ones who solved power first. Japan just took a very large, very public step in that direction.