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Google to pay SpaceX $920 million a month for compute capacity at xAI data centers
Ahead of a planned IPO, SpaceX inked a deal to rent compute capacity to Google for $920 million per month for 32 months.
๐บ๐ธ ๋ฏธ๊ตญ ยท IT/๊ธฐ์ ยท "PACE" ยท ์ด 116๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 11,800๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 11,798๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 18.9(์ค๋ ๊ท ํ)์ ๋๋ค.
Ahead of a planned IPO, SpaceX inked a deal to rent compute capacity to Google for $920 million per month for 32 months.
The companies announced the deal on Friday, just one week ahead of SpaceX's historic IPO.
SpaceX wonโt get easy access to billions of dollars from passive investors.
Traffic from automated AI programs for human users also rose by about 8,000% last year, CNBC reported.
Elon Musk will participate in a virtual chat at a private ASML conference next Thursday, according to internal documents seen by Business Insider.
S&P Dow Jones Indices announced Thursday it will preserve its existing eligibility criteria for major benchmarks like the S&P 500, effectively closing the door on expedited inclusion for large technology IPOs such as Elon Musk's SpaceX. The post S&P 500 to Maintain Traditional Requirements, Blocking Fast-Track Entry for SpaceX, AI IPOs appeared first on Breitbart.
The space agency said Roscosmos discovered new leaks in the Russian service module.
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Anthropic has been growing at a breakneck pace. The company announced that annualized revenue crossed $47 billion in May, up dramatically from roughly $9 billion at the end of 2025. That trajectory faces a real test, though.
On Thursday, June 18, at The Aerospace Corporation Campus, investors, founders, and tech leaders will gather for an evening of conversation exploring some of the most consequential shifts taking place across venture capital, defense technology, artificial intelligence, and advanced industry. Secure your spot today.
SpaceX has submitted proposals to build the first phase of its chipmaking moonshot, which will cost at least $55 billion, in Grimes County, Texas.
The dot-com guardrails are being dismantled just as SpaceX and Anthropic go public, experts warn. Your retirement account could feel it.
Amazon's gaming strategy has never really been clear. It's been very active in the space: acquiring Twitch, launching its Luna cloud gaming service nearly six years ago, investing heavily in MMOs during the peak of live-service wave, and having access to a huge slate of franchises through Prime Video and the MGM Studios library. Late [โฆ]
โI think the team has really experienced the loss of a loved one with the end of the mission.โ
C.C. Wei told shareholders the company is working hard to avoid becoming a bottleneck as AI demand overwhelms capacity across the supply chain
Today on Decoder, Iโm talking to Ryan Mac, a technology reporter at The New York Times and coauthor of the excellent book Character Limit: How Elon Musk Destroyed Twitter, which came out in 2024. I canโt recommend it enough. I wanted to have Ryan on the show because weโre on the cusp of the SpaceX [โฆ]
Grimes County commissioners voted 4-1 to approve a 100% property tax abatement and reinvestment zone for SpaceX's proposed semiconductor facility
Welcome to the era of the big three. Weโre not talking rappers here โ although according to Kendrick Lamar, itโs โjust big meโ โ weโre talking AI companies: Anthropic, SpaceX, and OpenAI. These three leading artificial intelligence companies are all expected to go public this year. Elon Muskโs SpaceX, which recently acquired another Musk company, [โฆ]
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New graduatesโ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the fieldโs tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need strong fundamentals in: Data structures and algorithms for problem-solving. Operating systems, databases, and networking for system-level understanding. Core programming languages such as C++, Java, and Python. AI can autocomplete syntax, but if you donโt understand how things work under the hood, youโre likely to struggle to debug or optimize. 2. Learn how to work with AI, not against it. The best engineers will not try to out-code AI. Instead, they will learn to: Write clear prompts to generate better code snippets. Review and debug AI-generated code for accuracy, performance, and security. Use AI for productivity boosts while still exercising judgment. Think of AI as a teammate. The real skill is knowing when to trust it and when not to. 3. Build projects that showcase end-to-end thinking. Employers increasingly look for engineers who can design and build systems, not just solve problems. Create projects that show you can: Define requirements clearly. Use AI tools responsibly within the workflow. Deliver a product that scales and is maintainable. 4. Sharpen your system design skills early. Even junior engineers are now asked questions about basic system design with AI. Expect to explain to prospective employers: How you would responsibly integrate AI into a system. How to design fallbacks when AI fails. How to ensure scalability and reliability. 5. Develop strong communication skills. Todayโs engineers donโt just code in isolation. You will be expected to: Explain design choices to teammates and stakeholders. Document decisions clearly. Collaborate effectively in cross-functional teams. This is one area where AI cannot replace you. Clear communication is a career accelerant. 6. Stay curious and keep learning. The tech industry moves fast, and AI is accelerating that pace. Cultivate habits such as: Following industry news, blogs, and open-source projects. Experimenting with new AI tools, frameworks, and libraries. Engaging in communities such as GitHub, IEEE Collabratec, LinkedIn, and Medium. Employers value engineers who keep themselves sharp and relevant. 7. Think beyond coding. AI will increasingly handle routine coding tasks. The differentiators for you will be: Problem-framing: Can you take a vague idea and turn it into a solution? Architectural judgment: Can you design systems that scale and last? Ethical awareness: Can you spot risks in AI use and address them responsibly? For more career advice, subscribe to the IEEE Spectrum Career Alert Newsletter. The biweekly newsletter features the latest information on jobs, education, management, and the engineering workplace.