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

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 HPE Throws VM Users A Lifeline, Unifying Containers And VM Management In Cloud Stack OpenAI, Microsoft And Friends Build A Better, More Scalable Ethernet 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 New Google Networks Tuned Up For GenAI Inference And Training Microsoft And OpenAI Remain Friends, Are Looking To Hook Up With Others 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 Cisco Scales Out Quantum Systems With A Quantum Network Switch 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 Nvidia Brings The Power Of Open Source AI Models To Quantum Computing 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 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 AMD Says “Helios” Racks And MI400 Series GPUs On Track For 2H 2026 CPU-Only Compute Still Matters To A Lot Of HPC Centers 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 The Greatest AI Show On Earth Cisco Doubles Up The Switch Bandwidth To Take On AI Scale Out And Eventually Scale Up 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 Intel Is Still Struggling In The Datacenter, But It Could Get Better Is Nvidia Assembling The Parts For Its Next Inference Platform? TSMC Has No Choice But To Trust The Sunny AI Forecasts Of Its Customers Cerebras Inks Transformative $10 Billion Inference Deal With OpenAI By Decade’s End, AI Will Drive More Than Half Of All Chip Sales Startup Quantum Elements Brings AI, Digital Twins To Quantum Computing D-Wave Makes Gate-Model Power Move With Quantum Circuits Buy Building The Future Of Software In The AI-Native Era Arista Modular Switches Aim At Scale Across Networks, Hit Scale Out, Too NextSilicon Takes Aim At CPUs And GPUs With “Maverick-2” Dataflow Engine How HPC Is Igniting Discoveries In Dinosaur Locomotion – And Beyond Oracle First In Line For AMD “Altair” MI450 GPUs, “Helios” Racks
While Oracle Will Rake In Big Bucks On AI, Profits Are Hard To Predict
Timothy Prickett Morgan · 2026-06-13 · via The Next Platform: In-depth coverage of high end computing

The transition from perpetual licenses to subscription-based pricing was a difficult transition for all makers of system and application software, and it is one that Oracle steered through with a certain amount of grace. But that transition pales compared to the tectonic shift that Oracle is making as it is investing to become the fifth hyperscaler located in the United States.

There has been plenty of jumpiness about Oracle’s massive investments in infrastructure, with five major datacenters in various stages of development to support its AI processing aspirations. Wall Street was very jumpy once again about that this week as the company reported its results for the fourth quarter of its fiscal 2026 year. But here’s the thing: The worst of this transition is mostly over.

The company fired up 1.2 gigawatts of datacenter capacity in fiscal 2026, and in the first quarter of fiscal 2027, which ends in August, it will turn on another 1 gigawatt of capacity. And in fiscal 2027, it will start reaping the benefits of its general purpose CPU and GPU-accelerated AI hardware investments. Hilary Maxson, who took over as chief financial officer two months ago and who previously worked at Schneider Electric, which makes the power distribution equipment for massive datacenters among other things, said on the call going over the numbers that 12 percent of its revenue backlog of $638 billion would be recognized in fiscal 2027, which works out to an incremental $76.6 billion in revenues added to this fiscal year above and beyond the run rate for Oracle’s massive software business. Oracle’s entire revenues for fiscal 2027 were $67.4 billion, just to give you some perspective. Maxson added that over the following two years – in fiscal 2028 and fiscal 2029 – another 34 percent of that revenue backlog would be recognized, which works out to $219.6 billion. If you average it out, that is around $110 billion a year in incremental revenues.

This assumes that OpenAI, the big customer in that revenue backlog, can come up with the cash. Oracle is making that assumption, and that is why it is building five massive datacenters. The Stargate datacenter in Abilene, Texas is now running at 42 percent of capacity, and another 35 percent of capacity will be added in the next three months. This facility will be at full power before the end of the calendar year. Oracle’s datacenter in Shackleford, Texas, which was contracted in August last year, has 115 megawatts of power lit up and first deliveries of machinery will happened in the first half of calendar 2027. The Dona Ana, New Mexico datacenter, the deal for which was inked in September 2025, will have customers installing equipment in 1H 2027 as well, and this one will be powered by Bloom fuel cells. The Saline, Michigan datacenter, contracted in October 2025, will start taking delivery of customer gear in the second half of calendar 2027 as will the Port Washington, Wisconsin datacenter that was contracted in September 2027. These datacenters add up to 5.5 gigawatts of capacity.

Which is why Oracle has been floating debt and burning cash to build them, at an alarming rate compared to its cloud business, as you can see below:

The key thing to remember is that there are not enough GPUs in the world to satisfy the demand to generate tokens to do useful work. So even if Oracle can’t sell as much capacity as it has contracted to OpenAI, there is a long, long list of customers who will be happy to rent that GPU capacity. In fact, if OpenAI were to go bust, one could argue that Oracle might make more money selling those GPUs on the open market than it is getting from OpenAI. . . .

Still, it is plenty dramatic for Oracle to have had a measly $6.9 billion in capex for fiscal 2024, when the OCI cloud was just serving up database instances and running Oracle applications on top of them, and then see capex skyrocket to $54.75 billion in fiscal 2025 and then just utterly explode to $166.8 billion in fiscal 2026. Capex spending will cool off a bit to a mere $70 billion or so in fiscal 2027, which should have calmed Wall Street down. That is $291.6 billion in capex over three years, which is a lot, but Oracle will be making back at least $293.5 billion out of that revenue backlog. So it balances. Every GPU hour that Oracle sells above and beyond the OpenAI deal has essentially no cost to Oracle.

Clay Magouyrk, who is a co-chief executive officer at Oracle, said that Oracle’s GPU utilization across the entire fleet of machines on OCI is 97.5 percent, which seems pretty respectable. And even if as customer doesn’t renew for some reason or another, there is an existing OCI customer or a new one waiting in the wings that will snap up that GPU capacity in a heartbeat.

As SpaceX is showing, even vintage “Hopper” H100 and H200 GPUs from Nvidia are valuable commodities, and once Elon Musk decided to shitcan his current Grok AI model and just rent out capacity on the Colossus 1 and Colossus 2 supercomputers in Memphis, Tennessee, SpaceX could charge Google nearly $1 billion a month to rent time on 110,000 GPUs across those two machines. SpaceX is till going to be developing Grok, but it is going to start over because it did not scale well across Colossus.

With that, let’s dig into the Oracle financials.

In the quarter ended in May, Oracle had $19.18 billion in sales, up 20.6 percent. Operating income rose by 20 percent to $6.13 billion, and net income rose by 25.6 percent to $4.3 billion, representing 22.4 percent of revenues and down quite a bit as the costs of the AI buildout bite.

The company ended the quarter with $31.9 billion in cash and equivalents in the bank, and spent $55.7 billion in capital investments during Q4 F2026.

As you can see from the Hardware group sales, which were $924 million in Q4 F2026, some of Oracle’s customers are bringing their own hardware to the OCI datacenters and others are using capacity that Oracle builds for OCI but are not shown in the financials because they are not external sales. Oracle has very good operating profits on its hardware, which is what you expect from Larry Ellison. But those margins are trending down, just like margins are shrinking over time for the Cloud and Software groups. The Services group is seeing its operating income grow, however.

Of note in the financials for Q4 F2026 is the fact that the Cloud Infrastructure division had 93.2 percent growth to $5.79 billion. Of this, $4.8 billion came from renting CPUs and GPUs and $800 million came from rentals of Oracle databases. (We assume the other sliver of $200 million in revenues was for raw storage.) Rentals of CPUs and GPUs grew by 2.2X in the quarter.

Here is what the mix of Cloud group revenues looked like:

I expect for Cloud IaaS revenues to go exponential as OpenAI and other big customers come online and start renting CPUs and GPUs. The bulk of that AI revenue backlog will end up here. But there will be services and software components as well in these big deals. Oracle is being paid to build and manage the datacenters as well as the gear inside of it.