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AI NewsAnthropic will pay xAI $1.25B per month for compute

Anthropic will pay xAI $1.25B per month for compute

6:53 AM IST · May 21, 2026

Anthropic will pay xAI $1.25B per month for compute

Earlier this month, Anthropicsurprised the AI worldwith a deal to buy 300 megawatts’ worth of compute — securing the entire output of the Colossus 1 data center near Memphis, Tennessee. Turns out, compute at that scale isn’t cheap. Anthropic will be paying xAI $1.25 billion per month through May 2029, with a discounted rate for the first two months as xAI completes its ramp-up. All told, the deal could bring xAI over $40 billion in revenue. Details of the transaction emerged from SpaceX’s S-1 filing with the SEC. The deal, the company said, “allows us to monetize unused compute capacity in our infrastructure.” The terms of the deal allow either side to terminate the contract with 90 days’ notice. “We expect to enter into additional similar services contracts,” the filing stated. The move has given xAI a hybrid stance in the AI market. Most players either build data centers for themselves or build data centers for others to use — rarely both simultaneously. This emerging model, sometimes called a “neocloud,” lets AI companies offset infrastructure costs by acting as a cloud provider when their own usage falls short of capacity. SpaceX argues the arrangement is a savvy use of resources. “We believe our dual monetization strategy provides multiple pathways to generate returns on invested capital,” it wrote. But the subtext is hard to miss: xAI appears to have overbuilt its compute capacity and needed to find a way to monetize it ahead of a public offering. Usage of Grok — xAI’s flagship AI assistant — hasdropped significantlyin recent months, freeing up servers that the company is now selling to one of its closest competitors.

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Rocket engine startup Impulse raises $500 million to hire people, not AI

Rocket engine startup Impulse raises $500 million to hire people, not AI

Impulse Space, a startup founded by SpaceX engine guru Tom Mueller to build highly-maneuverable spacecraft, announced a $500 million Series D this week that it will use to hire as many as 200 new employees. The round, led by 137 Ventures and BANNER VC, with participation from Founders Fund, Lux Capital, and Linse Capital, reflects investor interest in space and defense tech as the U.S. government hurls cash at national security problems and SpaceX gears up for its IPO. Impulse is focused on in-space mobility. The company has developed a highly maneuverable platform called Mira that is targeted at U.S. Space Force buyers. It’s also building Helios, a vehicle designed to carry satellites rapidly to high orbits after they are dropped off in space closer to Earth. President and COO Eric Romo told TechCrunch that the new capital will help the company build and test more space vehicles and emphasized the company’s hiring plans at a time when aerospace talent is in high demand. While the company’s software teams are adopting AI coding tools, Romo said that when it comes to solving engineering problems in the real world, deep learning models aren’t quite ready for prime time. As the 13th employee at SpaceX back in 2003, Romo’s job was creating computer simulations of the company’s engine design to assess its performance. “I considered it success if I got within 20% of the right answer, because the simulations were just not that good,” Romo said. “They’ve improved, but they’ve not improved that much, and so there’s not really any substitute for designing the thing, analyzing the thing, building it, and then getting it on the test stand.” Romo suspects AI tools for hardware design may be slower to arrive because the right training data is hard to find, compared to the amount of text and code available on the internet to train LLMs. “If you want to go, say, find the best designs for a turbo pump seal package in the world, you’re not going to find those online,” he points out. Impulse started with a focus on propulsion and evolved to build spacecraft, requiring the company to add more expertise in the form of engineers who build vehicle structures and flight computers. One reason the company recently opened an office in Colorado is that aerospace talent has more options today — instead of just going to Los Angeles, engineers can find work in Seattle, Denver, or Texas. Next up for the company is another launch of its Mira spacecraft, which made its third flight late last year. That flight wasn’t without incident — a problem with its navigation system led it to expend much of its propellant early on. Romo said the company is prepping a new Mira mission that is expected to launch before the end of the year.

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ZeroDrift raises $10M to protect AI models from themselves

ZeroDrift raises $10M to protect AI models from themselves

As enterprises troubleshoot their AI systems, governance has emerged as a key challenge. Some are taking a dual approach: One model to handle incoming queries, and another to keep the first one from getting into trouble. That’s the premise ofZeroDrift, a new AI compliance service that on Tuesday said it had raised $10 million in a seed funding round that saw investments from a16z Speedrun, Reign Ventures, PitchDrive Ventures, and U&I Ventures, among others. The company deals entirely with the second part of the system, sitting between AI models and end users to flag and replace any messages that might present a compliance problem. It might seem strange to build an AI tool to correct other AI systems’ mistakes, but ZeroDrift says its system has a few architectural advantages over the models it will be correcting. The system is triggered by conventional programs that deterministically apply known compliance standards like SOC 2 or GDPR, and the LLM only comes into play once a message has been flagged, rewriting a compliant version of the same message. “We’re able to identify, deterministically, what are all the regulated areas, what’s the violation that’s being broken, and then we have LLMs that can do the rewrites,” CEO Kumesh Aroomoogan says. Critically, the company says its entire system can be run with lower latency and more reliability than a conventional LLM. This is what ZeroDrift touts as its primary advantage over big labs like OpenAI and Anthropic, which are often already present in the underlying system. The most obvious use case is for AI chatbots, which are already deployed in front of consumers where there can be serious consequences for rogue answers. But Aroomoogan sees a much larger total addressable market, potentially spanning AI-generated messages that are generated only within automated systems that humans will never see. So far, it’s a relatively small market, but it’s one that will grow as AI proliferates. If the fundraise is any indication, there’s a lot of pent-up demand for such products. “It was probably the fastest fundraising I’ve done in my life,” Aroomoogan says, crediting Andressen Horowitz for helping structure the seed round. “We closed within three weeks, and we will be oversubscribed by 3x on the amount.”

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Cricketer KL Rahul Partners With str8bat to Launch AI-Powered Batting Platform

Cricketer KL Rahul Partners With str8bat to Launch AI-Powered Batting Platform

The partnership brings KL Rahul’s batting philosophy to str8bat’s AI platform allowing players to learn from professional-level insights tailored to their game.

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Coforge Launches Nexa Agentic Platform for Insurers

Coforge Launches Nexa Agentic Platform for Insurers

Nexa aims to automate and streamline underwriting, claims processing, product development and modernisation of legacy systems.

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