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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 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 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
Intel Is Still Struggling In The Datacenter, But It Could Get Better
2026-01-24 · via The Next Platform: In-depth coverage of high end computing

Intel has been pushing its two-core server CPU strategy for so long, in one form or another, that we have become accustomed to differentiating products the way Intel does and then try to figure out what workloads these chips might be useful for.

The Atom and E-core chips, which have their heritage in Intel’s laptop processors and which are aimed at energy efficiency, are minimalist designs aimed at high throughput per socket but modest workloads, while the true Xeon cores – now known as P-cores, short for performance – are distinct cores with different but overlapping features and higher throughput per core, which is important for single-threaded workloads that are common in the IT estate.

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With the upcoming “Diamond Rapids” Xeon 7 P-core variants, Intel’s chip architects – many of whom no longer work at the company – decided to remove simultaneous multithreading, known as HyperThreading in the Intel architecture, from the design. The idea, we surmise, was to take out the overhead of SMT from the design, which allows two virtual threads per core, which can boost throughput at the expense of slightly lower single-threaded performance and also introduces another attack surface for security vulnerabilities. This is why many Arm server CPU designs do not have SMT.

To SMT or To Not SMT is a pesky question, and Intel has vacillated here. The original Atom processors from a decade and a half ago had it, then it was removed with the “Silvermont” cores in 2013 and was not added to the E-cores (code-named “Gracemont,” “Crestmont,” and “Skymont”). Given that chips these days have a lot of physical cores, some of the P-core CPU designs for desktops and laptops had SMT removed to improve their performance and efficiency, and this carried into the high-end Xeon server CPU line with Diamond Rapids, which is based on Intel’s 18A process (roughly akin to 2 nanometers) and which is expected to ship in the second half of this year. High-bin Diamond Rapids Xeon 7 parts will have four compute tiles and a total of 192 cores.

Over the past several months, after Kevork Kechichian came from Arm to be general manager of the Data Center Group (they are no longer calling it DCAI except in the financial reporting), Intel has decided to can the eight-channel variants of Diamond Rapids and focus on high-end 16-channel parts that are aimed at big workloads, including database servers, HPC systems, and AI host nodes. With 18A still ramping and in relatively short supply, Intel has to pick its production targets very carefully to chase the dollars.

Lip-Bu Tan, Intel’s chief executive officer, said on a call with Wall Street analysts that Intel was working to accelerate the delivery of the follow-on “Coral Rapids” Xeon 8 P-core part, which would add SMT back into the design. This chip was originally slated for the second half of 2027 to early 2028, and we will see how quickly it will be able to get it out the door.

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We think that one of the ways Coral Rapids might be accelerated to market is to use an advanced node of 18A instead of the 14A process that was expected. So far, Intel Foundry has no external customers for 14A and the company is very clear that it needs one for the ramp to proceed. Hopefully, 18A is not the new 14 nanometers, a process that Intel was stuck at for way too long as Taiwan Semiconductor Manufacturing Co pushed down into 7 nanometers and 5 nanometers with their 6 nanometer and 4 nanometer tweaks.

To be fair, Intel is still kinda stuck at the 10 nanometer SuperFIN and Intel 7 processes for parts of its Xeon 6 chips even as it uses Intel 3 (something around a 4 nanometer to 3 nanometer process) for core tiles. With the “Clearwater Forest” Xeon 7, which is an E-core design expected in the first half of this year, the I/O are etched using Intel 7, the base tiles are etched using Intel 3, and the core tiles are etched using 18A. This may be a choice based as much on the relatively low volumes expected for Clearwater Forest. The E-core Xeon 6 processors have not exactly taken the world by storm, but there is some interest, but some manufacturing helps the 18A ramp and also helps cover the cost of that ramp.

Anyway, Coral Rapids might be the first Intel processor to integrate NVLink Fusion ports to attach to Nvidia memory fabric switches and GPUs in a coherent fashion. There is speculation that the Coral Rapids chip will support DDR6 main memory, and up to four memory sticks per channel for a big boost in main memory capacity for server nodes.

If there was one big bummer in the Intel financial report, it was the admission that Intel could not meet demand for its Xeon processors at any process because of supply constraints with Intel 7 and Intel 3 and the fact that it has to balance the needs of client device builders against server builders.

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“Obviously, we are shifting as much as we can over the datacenter to meet the high demand,” said Dave Zinsner, Intel’s chief financial officer, on the call. “But we can’t completely vacate the client market. So we are trying to support both as best we can and obviously work our way out of this supply issue. I do believe that the first quarter is the trough. We will improve supply in the second quarter. And part of the challenge is that in the third and fourth quarter of 2025, we lived off of supply. But we also had a reasonable chunk of fixed finished goods inventory to also work through. Unfortunately, that is now down to kind of 40 percent of what it was at peak levels. So we don’t have that to rely on. It is just literally hand to mouth – what we can get out of the fab and what we can get to customers is how we are managing it.”

Elsewhere in the call, Zinsner said that Intel was prioritizing internal wafer supply to Xeons and leveraging an increased mix of externally sourced wafers for its client devices. It is good that Intel has that option, but that does not help the ramps and it might be more costly than using internal capacity at Intel Foundry. (Then again, it may be cheaper, and on second thought, we think it might be. . . . )

Everybody has their eyes on the 14A process, which Intel has said it will not put into production until it lines up external customers – perhaps later this year or early next. In the meantime, development continues so that Intel can do the ramp relatively quickly when it does get the go-ahead, and we strongly suspect that there will be political pressure on chip companies like Apple, Nvidia, and maybe even AMD to source some of their chips on 14A if the ramp is not terrible.

“Intel 14A development remains on track,” Tan said on the call. “We have taken meaningful steps to simplify our process flow and improve our rate of performance and yield improvement. We are developing a comprehensive IP portfolio on Intel 14A, and we continue to improve our design enablement approach. Importantly, our PDK is now viewed by customers as industry standard. Engagements with potential external customers on Intel 14A are active. We believe customers will begin to make firm supplier decisions starting in the second half of this year and extending into the first half of 2027. We also have the opportunity to provide strong differentiation in advanced packaging, particularly with EMIB and EMIB-T. We are focusing on improving quality and yield to support customer desire for ramps beginning in second half of 2026.”

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In the meantime, AMD and Nvidia will be competing hard against Intel, and TSMC is absolutely not going to let up at all as it ramps its American fab capacity to do its part to help prevent World War III.

And with that said, let’s go over the numbers for Intel in the final quarter of 2025.

In the fourth quarter, Intel’s revenues were down 5.2 percent to $13.67 billion, and operating income shifted to a gain of $580 million versus a $401 million operating loss in the year ago period.

Intel Foundry continues to be a drag on the company, with revenues – almost exclusively coming from the Client Computing Group and the Data Center Group – of $4.51 billion, up a tenth of a point year on year. But operating losses at the foundry, thanks to the ramps of Intel 7, Intel 3, and 18A and development for 14A, grew to $2.51 billion.

Intel’s current inhouse Core and Xeon CPU volumes can carry the company for a while if need be, and that seems to be the plan. All profits from the CPU products are propping up the foundry – which is how it has been for a decade and a half since Intel hit the 10 nanometer wall and was knocked flat.

Here is the big table showing the numbers since Q1 2023:

What we care about here at The Next Platform is the datacenter business, which has thankfully been consolidated back into a single Data Center Group thanks to the sale of the flash storage business and the spinoff of the Altera FPGA business. Now, everything datacenter is in one place and we don’t have to model it. We can see it.

What we see in Q4 2025 is that Intel had $4.74 billion in sales for what is still called the Data Center & AI group in the financial reports but which is using the old Data Center Group name, up 8.9 percent year on year and up 15.1 percent sequentially. This is not GenAI Boom growth, but it is not decline. Moreover, with $1.25 billion in operating profits, the Data Center Group has increased its profitability by a factor of 3.3X year in year and by nearly 30 percent sequentially. This is good, given all the circumstances, and is reflective of the demand for high-end CPUs for HPC and AI systems that don’t have a lot of CPUs but they do tend to use the most expensive ones given the task of keeping even more expensive GPUs or XPUs fed with data.

It is hard to say what the steady state rate of revenue and profitability will be for the Data Center Group as we go forward, but it will almost certainly not ever attain the revenue levels of 2020 through 2022 or the profitability levels of 2017 through 2020 ever again. A steady state for this business might be somewhere around $6 billion a quarter in revenues and maybe $2 billion in operating profits – and that is if everything goes right. We think the future is Arm chips accounting for 25 percent of server revenues, with Intel and AMD arguing over the remaining 75 percent and fighting to be the one with 40 percent share compared to the other’s 35 percent share.

Last Note: AMD’s Epyc designs, which double up core counts by cutting cache in half, is a much cleaner way to get two different types of processors without having to change functions. Intel might want to think about that.