星云
Starcloud

原始链接: https://www.ycombinator.com/companies/starcloud

星云公司正在太空建设数据中心,以克服地面超大规模计算的环境和后勤限制。他们利用不断下降的发射成本、 readily available readily available 太阳能以及被动辐射冷却技术,实现可持续、可扩展的计算。他们的第一颗卫星将于2025年5月发射,其GPU性能将比以往送入太空的任何设备强大100倍。后续发射将扩大规模,最终形成千兆瓦级的轨道数据中心。他们已经预订了前两次发射,建立了有效载荷制造设施,设计了初始的航天器和数据中心概念,并获得了计算时间的意向书。接下来的步骤包括发射他们的演示任务,在太空中训练第一个大型语言模型,原型设计一个微型数据中心,以及与超大规模公司签订合同。他们的团队拥有麦肯锡、空中客车公司、牛津空间系统公司和SpaceX公司的经验。星云公司正在积极寻求具有航空航天或数据中心基础设施专业知识的工程师,以及计划建设千兆瓦级训练集群的运营商和客户。

YC孵化的公司Starcloud提议在太空建造数据中心用于AI训练,理由是更便宜的能源和制冷成本。这一想法在Hacker News上引发了质疑,原因是在真空中散热的巨大挑战。评论员们强调了对大型散热器的需求、维护的困难以及宇宙辐射的脆弱性。一些人建议采用替代的地球方案,例如水下数据中心或寒冷气候地区。 人们对部署如此大型结构的可行性以及所提议的冷却方法的实用性表示担忧。怀疑论者质疑其经济上的可行性,指出太阳能电池板成本被夸大,以及太空碎片的潜在风险。虽然一些人认识到新的解决方案的潜力以及追求“伟大梦想”的意义,但许多人怀疑该项目是“太空Theranos”——一个旨在利用炒作而非扎实的工程技术来吸引风投的骗局。

原文

Hey all, we're building data centers in space. We’re launching our first satellite next year, which will have the most powerful GPUs ever put in space by >100x. We will launch a larger iteration each year until we reach gigawatt scale.

❌The Problem

Future hyperscale data centers will put a huge strain on electricity grids, freshwater distribution, and the Western world’s permitting systems. It will simply not be possible to deploy multi-gigawatt scale data centers rapidly in the way we build data centers today.

✨Our Solution

We take advantage of falling launch costs to make use of inexpensive solar energy in space and low-cost passive radiative cooling, rapidly scaling up orbital data centers almost indefinitely without the physical or permitting constraints faced on Earth. This will ensure we can continue training ever larger models without destroying the environment.

⚙️ Read our white paper

Check out our white paper for more information on why space data centers are the future and how we’re going about making this happen.

See a short video on the design here.

🏆 What we’ve achieved so far

  • Booked our first launch (May 2025) and our second launch (H2 2026)
  • Set up our payload manufacturing facility in Redmond, WA
  • Designed and started building and testing our first spacecraft, with the fastest GPUs to ever launch to space by ~100x
  • Created concept designs for our micro data center (2026 launch) and our Hypercluster data center (launching when Starship-class launch vehicles enter commercial service)
  • Secured high-value LOIs for H100 compute time in space

🔜 What’s next

  • Launch and complete our demonstrator mission, which will train the first LLM in space!
  • Prototype our micro-data center design
  • Secure contracts which incumbent hyper scalers

👥 Our Team

Philip, CEO, is a second-time founder who has worked at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.

Ezra, CTO, has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on missions including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.

Adi, Chief Engineer, was previously a Principal Software Engineer at SpaceX, where he was part of the Starlink network team enabling Starlink for in-motion users, including Starship. Before that, he deployed the first LLMs on large GPU production clusters at Microsoft, where he also delivered more than 25 patents in more than two decades. Adi holds degrees in Computer Science and Chemistry from the top two universities in Bucharest.

🙏 Asks

Join our team! If you are or know any hardcore engineers with experience in aerospace or data center infrastructure and are interested in working with the Starcloud team, please get in touch!

https://www.starcloud.com/careers

We are also interested in talking to operators and customers of hyperscale training clusters who are contemplating the scale-up from megawatts to gigawatts.

联系我们 contact @ memedata.com