惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

K
Kaspersky official blog
Engineering at Meta
Engineering at Meta
D
DataBreaches.Net
Stack Overflow Blog
Stack Overflow Blog
Microsoft Security Blog
Microsoft Security Blog
Y
Y Combinator Blog
B
Blog RSS Feed
GbyAI
GbyAI
P
Proofpoint News Feed
aimingoo的专栏
aimingoo的专栏
MyScale Blog
MyScale Blog
D
Docker
阮一峰的网络日志
阮一峰的网络日志
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Recorded Future
Recorded Future
美团技术团队
The Register - Security
The Register - Security
V
Visual Studio Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
Tailwind CSS Blog
爱范儿
爱范儿
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
T
The Blog of Author Tim Ferriss
博客园 - 司徒正美
量子位
B
Blog
F
Fortinet All Blogs
Martin Fowler
Martin Fowler
博客园 - 【当耐特】
MongoDB | Blog
MongoDB | Blog
A
About on SuperTechFans
I
InfoQ
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
有赞技术团队
有赞技术团队
雷峰网
雷峰网
大猫的无限游戏
大猫的无限游戏
J
Java Code Geeks
L
LangChain Blog
Latest news
Latest news
S
SegmentFault 最新的问题
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Blog — PlanetScale
Blog — PlanetScale
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Cisco Talos Blog
Cisco Talos Blog
F
Full Disclosure
C
Cisco Blogs
D
Darknet – Hacking Tools, Hacker News & Cyber Security
W
WeLiveSecurity
T
Tenable Blog
T
Tor Project blog

Martin Alderson

Winners and losers in the coming AI margin collapse (part 2) GLM 5.2 and the coming AI margin collapse (part 1) Expert-aware quantisation: near-Q4 quality at near-Q2 size? A brief history of KV cache compression developments Is datacentre sovereignty really that important? I went on the Built for Turbulence podcast What's going on with Gemini? Managed agents are the new Lambda Open weights are quietly closing up - and that's a problem 29th August 2026: a scenario Figma's woes compound with Claude Design A little tool to visualise MoE expert routing Has Mythos just broken the deal that kept the internet safe? What next for the compute crunch? Telnyx, LiteLLM and Axios: the supply chain crisis Using agents and Wine to move off Windows Why Claude's new 1M context length is a big deal How to use the Qwen 3.5 LLMs to OCR documents No, it doesn't cost Anthropic $5k per Claude Code user Is the AI Compute Crunch Here? Why on-device agentic AI can't keep up Using OpenCode in CI/CD for AI pull request reviews Which web frameworks are most token-efficient for AI agents? Who fixes the zero-days AI finds in abandoned software? Attack of the SaaS clones How to generate good looking reports with Claude Code, Cowork or Codex Self-improving CLAUDE.md files Wall Street just lost $285 billion because of 13 markdown files Two kinds of AI users are emerging. The gap between them is astonishing. Turns out I was wrong about TDD Why sandboxing coding agents is harder than you think The Coming AI Compute Crunch Which programming languages are most token-efficient? I ported Photoshop 1.0 to C# in 30 minutes Why I'm building my own CLIs for agents Travel agents took 10 years to collapse. Developers are 3 years in. Are we dismissing AI spend before the 6x lands? Minification isn't obfuscation - Claude Code proves it AI agents are starting to eat SaaS Has the cost of building software just dropped 90%? Are we in a GPT-4-style leap that evals can't see? I Finally Found a Use for IPv6 How I use Claude Code to manage sysadmin tasks Could Excel agents unlock $1T in economic value? Are we really repeating the telecoms crash with AI datacenters? A non-technical CFO is shipping better code than the agencies he hired Tracking MCP Server Growth Notes from MCP Dev Summit Europe: Where the Protocol Is Headed How I make CI/CD (much) faster and cheaper Google AI Studio API has been unreliable for the past 2 weeks What happens when coding agents stop feeling like dialup? Solving Claude Code's API Blindness with Static Analysis Tools Are OpenAI and Anthropic Really Losing Money on Inference? I gave Claude Code a folder of tax documents and used it as a professional tax agent Beyond the Hype: Real-World MCP Support Across Major AI APIs Welcome to My Blog
xAI is looking more like a datacentre REIT than a frontier lab
Martin Alderson · 2026-06-08 · via Martin Alderson

An unexpected development over the past few weeks is xAI's new partnerships with Anthropic and Google, providing them with a huge amount of capacity. It's worth remembering that xAI is now part of SpaceX, after the two merged back in February - so the revenue from these deals flows straight into the entity about to go public. While much has been made of the potential financial engineering given SpaceX's upcoming IPO, I think there's a bit more to this than just pure accounting tricks.

Anthropic was in a serious bind

If you use Claude products much, you'll be (very, probably) aware that Anthropic has had serious capacity problems, especially early afternoon onwards in Europe and in the mornings in the US (this is when demand seems to be highest as both European users and the Americas are both at work, fighting for capacity). I've written about this compute crunch before a few times - the coming crunch, whether it's here yet, and what comes next.

This resulted in Anthropic having to introduce new peak hour restrictions on their subscriptions, with usage between 5am–11am PT / 1pm–7pm GMT using more of your usage limit - with the aim of smoothing demand between peak hours and off peak hours where they had more capacity available.

However, there is only so much demand shifting you can do when demand is growing as fast as Anthropic's. At some point you end up having to ration users further, which definitely is far from ideal when you have both Google and OpenAI breathing down your neck for customers.

xAI to the rescue?

At the start of May, xAI announced a partnership with Anthropic to provide access to their (older) Colossus 1 datacentre in Memphis. This allowed Anthropic to reverse the usage limit restrictions on their subscriptions, and in general while stability of Anthropic services still leaves a lot to be desired, the peak time crunch has abated (for now, at least).

The fees involved are enormous, ramping to $1.25bn/month for 300MW of capacity - approximately 220k GPUs.

Last week, Google announced a similar partnership - $920mn/month for 110k GPUs[1]. It's important to note that both agreements have cancellation clauses - allowing either party to cancel with 90 days' notice after an initial lock-in period.

If you take this on face value, this is a ludicrously profitable deal for xAI:

Chart showing xAI's cumulative lease revenue from Anthropic and Google crossing the ~$40bn build cost at around 18 months

While this doesn't include opex[2] and depreciation, if the deals continue for 18 months, xAI recoups all the capex they spent and still has many hundreds of MW of GPUs available. With the giant compute shortages likely to persist into the medium term, even older H100s are likely to be extremely useful even 18 months out.

The case against

It's important to note there are certainly some red flags with the deal. Firstly, Elon Musk and OpenAI were/are locked in a bitter legal battle, and the Anthropic deal could be motivated to add pressure to OpenAI more than commercial reality.

And Google is a major shareholder in SpaceX, so they certainly have incentive to juice the valuation of the IPO.

While I'm sure there is some degree (potentially a lot!) of truth in these viewpoints, it's important to note that huge volumes of GPUs are in enormously short supply.

One of the untold stories of this capex boom in datacentres is just how behind all of them are. Even OpenAI's flagship Stargate UAE datacentre - being built in a jurisdiction that is renowned for a laissez-faire attitude to building regulations - is now under direct threat from the current Iran conflict, with Iranian drones having already hit other UAE datacentres.

In comparison, SpaceX/xAI are incredible at building datacentres on time. The original Colossus 1 datacentre was built in 122 days. Musk's empire does have a huge advantage in really understanding how to plan, build and execute enormous infrastructure projects quickly. While the hyperscalers no doubt have the experience to do this, they were built with far less urgency - with typical project execution taking many years. Given the capex only really started to ramp up in the last couple of years, many of these projects are still years away.

This gives xAI a serious competitive advantage that shouldn't in my opinion just be hand waved away.

But what about Grok?

There is no doubt this leaves Grok in an odd spot, with a lot of the datacentre capacity that was destined for Grok training and inference now being leased to a direct competitor.

While it's foolish to write off any model provider, it certainly looks like a serious retreat from Grok vying to be a frontier class lab. But, perhaps, they over-specified their datacentre capacity - there is no doubt that inference demand for Grok models is likely to be seriously behind projections, leaving a bunch of spare capacity which might as well be monetised while the training lottery continues? It's hard to say and the xAI & Cursor deal muddies the water even further.

As such, I think all three things are true to some degree. There's no doubt some level of financial engineering going on. There's also an enormous compute shortage. And it seems to me SpaceX/xAI does have a real competitive advantage in datacentre buildout.

It's just the magnitude of how true each of these are is going to define the success or failure of the biggest IPO in North American history.

Either way, the more I look at it, the more xAI is starting to resemble a datacentre REIT with a frontier lab attached, rather than the other way around.


  1. I suspect that these are likely to be GB200s given the pricing, vs the mostly H100/H200 for Anthropic, but this is speculation on my part. ↩︎

  2. Power is the obvious big opex line, but at this scale it's almost a rounding error. 300MW running flat out is roughly 300,000 kW × 8,760 hours, or about 2.6 billion kWh a year. Tennessee has some of the cheapest industrial electricity in the US at around 6 cents/kWh, so buying it off the grid would cost somewhere around $160mn a year. Colossus actually runs largely on its own on-site gas turbines, which comes out even cheaper: at a simple-cycle heat rate of ~10,000 Btu/kWh and Henry Hub gas at ~$3.50/MMBtu, the fuel bill is only around $90mn a year. Either way, set against the ~$15bn a year Anthropic is paying for that 300MW, power is no more than about 1% of revenue. The deal value utterly dwarfs the running costs. ↩︎