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The Next Platform: In-depth coverage of high end computing

Uncle Sam Awards $2 Billion-Plus To Quantum Companies, But Wants A Cut Not So Fast On That Charge For 800 Volt Datacenter Power Oak Ridge Starts Weaving Together A Quantum, Classical HPC, And AI System Stack Dell Bulks Up Hardware As AI Infrastructure Shifts To On-Premises Cisco Wins Over AI Customers With Merchant Silicon And Optics With Its IPO Done, Cerebras Can Get Back To Pushing The AI Envelope intelligence.theregister.com HPE Throws VM Users A Lifeline, Unifying Containers And VM Management In Cloud Stack OpenAI, Microsoft And Friends Build A Better, More Scalable Ethernet intelligence.theregister.com Compute And Memory Price Hikes Drive IT Spending Way Higher Sometimes, Air Is The Only Way For AI Systems To Keep Their Cool Arista Rides AI Scale Out Networks, Moves Into Scale Across, And Awaits Scale Up If You Can Make A Compute Engine, You Can Sell A Compute Engine Cleveland Clinic Simulates Large Proteins With Quantum-Centric Supercomputing Broadcom Helps CPU And XPU Makers Go Vertical With Compute Microsoft Committed To Doubling AI Infrastructure In Two Years Google Is A Full Stack AI Player, And Is Playing Well AWS Will Be An OEM, Just Like Google And Maybe Microsoft intelligence.theregister.com intelligence.theregister.com New Google Networks Tuned Up For GenAI Inference And Training Microsoft And OpenAI Remain Friends, Are Looking To Hook Up With Others intelligence.theregister.com AI-Driven CPU Shortage Saves Intel’s Financial Cookies The GenAI Battle Shifts From Frontier Models To Agentic Platforms With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger intelligence.theregister.com Cisco Scales Out Quantum Systems With A Quantum Network Switch Stop Measuring AI Training Costs In GPU Hours The Second Time Will Be The IPO Charm For Cerebras Imagine An Army Of AI Minions Handling Incident Response AI Will Soon Drive A Third Of TSMC’s Business Bechtolsheim & Friends Breathe Life Into Pluggable Optics One Last Time How HPC And AI Digital Twins Accelerate Quantum Error Correction The Embrace Of AI In Design Transforms Cadence And Its Customers intelligence.theregister.com intelligence.theregister.com Nvidia Brings The Power Of Open Source AI Models To Quantum Computing intelligence.theregister.com Building The Imperfect Beast For Enterprises, GPUs Need Virtualization As Much As CPUs Ever Did CoreWeave Takes As Much Financial Engineering As It Does Datacenter Design Contemplating Meta’s Homegrown MTIA Compute Engine Roadmap Most Neoclouds, Sovereigns, And Enterprises Will Buy, Not Build, Their AI Stacks Broadcom And Google Benefit Mightily From Anthropic’s Meteoric Growth Rebellions AI Rings Up The Money To Rack Up AI Inference Systems Nvidia Software Pushes MLPerf Inference Benchmarks To New Highs Broadcom Makes Its Pitch To Run Kubernetes On VMware VCF The $2 Billion Nvidia Deal With Marvell Is About A Lot More Than NVLink Fusion Classiq Says Quantum Is On Its Way, But Patience Is Needed Demonstrating The Scientific Usefulness Of Quantum Systems We Need Servers – Lots Of Servers. . . . Arm Comes Full Circle With Homegrown, AI-Tuned Server CPU Riding The Memory Boom And Trying To Avoid The Bust Data Analytics Helps Make The Mighty Lionesses Roar Driving Down The AI System Roadmap With Nvidia The Open Agentic AI World According To Nvidia Nvidia Finally Admits Why It Shelled Out $20 Billion For Groq Nvidia Says OpenClaw Is To Agentic AI What GPT Was To Chattybots IBM Unrolls Blueprint For Quantum-Classical HPC Computing Women Get Data-Driven Health Boost As The FA Tackles Sports Science's Male Bias Four Months Into Its Comeback, Zapata Stakes Its Claim In Quantum Software Eridu Cuts To The AI Networking Chase With High Radix Switch System HPE Works Harder And Smarter To Chase Datacenter Profits We Need A Proper AI Inference Benchmark Test How AI Is Boosting Gender Equality In High Performance Racing Custom Compute Engine Biz Growing More Than Marvell Ever Hoped Broadcom May Become The Biggest Counterbalance To Nvidia Ayar Labs Gets $500 Million To Ramp Photonics Into 2028 AI Systems With Cisco Outshift, Agentic AI Is Teed Up For the Internet Of Cognition Nvidia Sees The Light On Silicon Photonics And Maybe Optical Switching AI Servers Finally Dominate Dell’s Systems Business VAST Data: What Controls The Data Is More Important Than What Stores It So Far, Nobody Turns Tokens Into Money Like Nvidia SambaNova Pits Its Engineering Against Nvidia For Agentic AI Some More Game Theory, This Time On The AMD-Meta Platforms Deal CPU-Only Compute Still Matters To A Lot Of HPC Centers AMD Says “Helios” Racks And MI400 Series GPUs On Track For 2H 2026 Taalas Etches AI Models Onto Transistors To Rocket Boost Inference Some Game Theory On That Nvidia-Meta Platforms Partnership AI Eats The World, And Most Of Its Flash Storage The Current AI Networking Wave Will Be A Tsunami Of Money By 2027 The Memory Crunch Pinches Cisco’s Profits Only A Few AI Platforms Can Survive Cisco Doubles Up The Switch Bandwidth To Take On AI Scale Out And Eventually Scale Up The Greatest AI Show On Earth Datacenter Spending Forecast Revised Upwards – Yet Again The Twin Engine Strategy That Propels AWS Is Working Well With GenAI Turbochargers, Google Is Shifting Its Cloud Into A Higher Gear AMD Finally Makes More Money On GPUs Than CPUs In A Quarter Dassault And Nvidia Bring Industrial World Models To Physical AI TACC Explores Mixed Precision And FP64 Emulation For HPC With Horizon Robotics Will Break AI infrastructure: Here’s What Comes Next Oracle’s Financing Primes The OpenAI Pump Gartner Takes Another Stab At Forecasting AI Spending Microsoft Is More Dependent On OpenAI Than The Converse Big Blue Poised To Peddle Lots Of On Premises GenAI Microsoft Takes On Other Clouds With “Braga” Maia 200 AI Compute Engines Nvidia’s $2 Billion Investment In CoreWeave Is A Drop In A $250 Billion Bucket
GPUs And RAM Are In Short Supply, But The Real Bottleneck For AI Is Electricians
2026-05-28 · via The Next Platform: In-depth coverage of high end computing

By design, datacenters are big capital machines. But to get a handle on the scale of resources that AI and HPC are sucking in out of the global economy, just consider what is happening at TeraWulf’s Lake Mariner site on the shore of Lake Ontario, just outside Buffalo, New York.

In mid 2022, TeraWulf was pleased to announce it was in the final steps of firing up 50 megawatts of Bitcoin mining capacity at the site – a former coal-powered power station – 18 months after first launching. Another 50 megawatts of capacity was scheduled to switch on in early 2023.

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By 2025, following a 2 megawatt AI/GPU pilot at the site, TeraWulf had pivoted, turning itself into an HPC/AI company, expanding its footprint at the site to 157 acres and aiming to boost its capacity at the Lake Mariner site to 750 megawatts. It will still produce Bitcoin on an opportunistic basis. But it is clear the management and shareholders have decided there’s a better opportunity to make real money by providing the infrastructure to allow other people to produce AI tokens.

The Next Platform took a look around the site recently, along with Schneider Electric. The French power kit firm has supplied much of the electrical infrastructure at the site, while its Motivair subsidiary has provided much of the liquid cooling technology that is now a prerequisite for an AI-grade site.

Once it switched its attention to HPC and AI, TeraWulf’s initial effort was the CB-1 datacenter, a 20 megawatt facility, with the 50 megawatt CB-2 datacenter slated for 2025. Sovereign AI specialist Core42, which is a strong partner of Cerebras Systems and AMD as well as other AI system suppliers, was the firm’s first banner client. It has been running AMD-based systems in CB-1 for the last ten months.

AI infrastructure specialist Fluidstack – whose operations are backed by Google and who are helping Anthropic create and install its own TPU systems and which is also a backer of TeraWulf – went into production at the site’s CB-3 building a few weeks before we visited. So that was off limits. (It may be where Anthropic has parked its initial TPU systems for all we know.)

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But we did see the CB-4 building. This is a 330,000 square foot, 200 megawatt beast, dwarfing the earlier operations. It encompasses four data halls, each spanning 33,000 square feet, illustrating just how much space, power, and mechanical infrastructure takes up. Construction here began in January. The building is in the final states of preparation ahead of flicking the power switch towards the end of the summer.

Once the buildings are swept clean and powered up, it will be down to the firm’s customers to install racks for whatever compute they want to run and decide on exactly how they want to manage the space.

Sean Farrell, chief operating officer for TeraWulf, said the halls were built with slab concrete floors. These are easier to build than raised floors, but more importantly can support increasingly dense, and therefore heavy, racks.

High-density AI capable racks, which are packing liquid cooling kit, and potentially 800 volt infrastructure, are getting too heavy for raised floors. The company has built with a spec of 8,000 pounds per rack in mind and could support up to 10,000 lbs.

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Farrell described the non-compute mechanical rooms supporting this building as “massive.” And yes, they are pretty enormous. The data halls themselves account for less than half the total footprint. The mechanical rooms handle a closed loop cooling system, with chillers and coolers in the data hall capturing the heat generated by the GPU heavy racks, before heat exchangers exhaust it out via roof top towers. The halls have space for fan walls should customers want them.

No water is used in normal cooling operations, Farrell said, and once “charged” the fluid in the cooling system lasts ten to fifteen years.

The company has already spent $290 million with Schneider and Motivair across UPS and batteries, CDUs, in-rack manifolds, racks, rack coolers, and software and services.

The CB-5 building next door is also 330,000 square feet. As Farrell put it, the first steel in that building went in on April 1. The roof is now on, and while the sides are open, the roof top coolers are being installed. Farrell said the building should be “energized” by the end of the year. Last year, TeraWulf announced Fluidstack had contracted for a 160 megawatt lease on CB-5, bringing its total commitment on the site to 360 megawatts.

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What the entire site doesn’t have is diesel generators for backup. Oil burners are traditionally the mark of a serious datacenter – and along with water-based cooling systems, and a thirst for grid electricity, they are a key reason for communities objecting to datacenter applications.

Lake Mariner benefits from dual 345 kilovolt power feeds coming in from separate grids. This means it has Tier 3 equivalence, which means it has N+1 redundancy and multiple power and cooling distribution paths. The grid power mix is 89 percent zero carbon – in large part because the New York Independent System Operator taps into the hydropower resources of Niagara Falls.

Power is non-negotiable for a datacenter development. TeraWulf overall has 3 gigawatts of capacity across its various sites, including a former aluminum plant in Kentucky, which has an active substation rated at 480 megawatts.

Connectivity is also essential – though there is a little more wriggle room when it comes to latency now, Farrell explained. Five years ago, he said, the rule of thumb was that a site had to be two hours away from a football stadium – no self-respecting sports arena is anything less than super connected. But where sites were focused on training, latency for returns was not quite so critical. And building out connectivity is easier than it was, he said. So, at the outset at least, super low latency is no longer a deal breaker

That said, the Lake Mariner site is about one hour away from the Buffalo Bills’ stadium, which delivers another benefit. The completion of a massive refurb at the Bills has freed up hundreds of electrical contractors. And it is trades, specifically electricians, which are the biggest bottle neck for datacenter projects, said Farrell.

The build, which is operating 24x7, keeps around 1,800 tradespeople occupied at any one time, of which 650 to 800 are electricians.

That’s a massive investment in hours and money, and from what we saw, hard hats and hi-viz vests. Building for bitcoin mining – with systems that rely on air cooling – costs around $500,000 per megawatt. The compute on top of that is roughly the same.

For AI/HPC, Farrell said, the build cost for the infrastructure works out around $7 million to $10 million per megawatt. But that presupposes liquid cooling, amongst other things. “There’s a lot more that goes into it,” says Farrell. Or into those massive mechanical rooms.

And, as a colocation site, it’s the customers who will be kitting out and managing the actual compute.

How much will they be paying TeraWulf for datacenter space? The average datacenter rental cost in the United States is around $140 per kilowatt per month. And contracts are typically for ten to fifteen years. What’s that all add up to? You can work it out, but best to use a calculator. GenAI is not great with math.