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The SpaceX-Nvidia partnership heads for orbit

The Rundown AI

SpaceX and Nvidia are partnering to build orbital data centers using Nvidia's Vera Rubin NVL72 rack, targeting deployment by late 2027, positioning space-based compute as a solution to ground infrastructure opposition. Meanwhile, Thomson Reuters developed its own AI model for $40M, Chinese hackers are doubling attacks using DeepSeek, and various AI tools and models continue advancing across industries.

Summary

The newsletter opens with SpaceX and Nvidia's official partnership to develop Starmind orbital data centers. Elon Musk revealed plans for a space-optimized version of Nvidia's Vera Rubin NVL72 rack, featuring 72 chips with 25x the computing power of previous H100 chips. The space version is designed to be significantly simpler, lower cost, denser, and lighter than typical hardware, with specialized modifications for orbital radiation and heat conditions. Target deployment is Q4 2027. Analysts currently estimate orbital compute costs at 4x ground-based compute, though Musk claims this gap will reverse in favor of space-based solutions within years. This partnership directly addresses earlier criticism from Sam Altman calling space data centers "ridiculous," but both the timelines and corporate backing are becoming increasingly concrete.

Thomson Reuters announced development of its own proprietary AI model after a two-year, $40M investment in staff and computing resources. The company retrained Alibaba's open-source Qwen model on decades of its own legal and news content. Recent training runs cost $450k, and the model benchmarked ahead of Claude Opus 4.8, Gemini 3.1 Pro, and GPT-5.5 in certain areas, though testing remains internal. CTO Joel Hron framed in-house model development as building equity versus renting AI APIs, suggesting major companies with deep content libraries will increasingly pursue similar strategies as training costs become more accessible.

On the security front, Taiwanese research firm TeamT5 reported that Chinese state-tied hacking groups are conducting over twice as many attacks since integrating DeepSeek into their operations. The groups favor DeepSeek for its low cost and loose safety guardrails, using it to write break-in code, conduct email raids, and map targets. Researchers have not yet detected more expensive models like Kimi K3 in attacks, suggesting cost and guardrail accessibility are primary factors. The AI Security Institute previously warned that AI's cyber capabilities are doubling every few months.

Additional content includes a guide for building reusable AI design systems, a community workflow showcasing genealogical research using AI as an investigation partner, and announcements of new tools including Alibaba's Wan 3.0 video model, Google's Antigravity agentic development tool, and Liquid AI's Pipette benchmarking suite. Notable deals and developments include Perplexity's potential $30B funding round with Nvidia, Porsche's $1.46B partnership with TCS for AI integration, and regulatory actions against an Nvidia manager and Super Micro staff for smuggling AI servers into China.

About this episode

PLUS: Build a reusable AI design system with Open Design

Key Insights

  • SpaceX and Nvidia target Q4 2027 deployment of space-based data centers as a response to increasing ground infrastructure opposition, with Musk claiming orbital compute cost advantages will flip in favor of space within years despite currently costing 4x ground-based solutions.
  • Thomson Reuters' $40M investment in developing its own AI model is positioned as comparable to annual API invoicing costs for major enterprises, suggesting large organizations with proprietary content libraries will increasingly build internal models rather than rely on third-party APIs.
  • Chinese state-tied hacking groups have more than doubled their attack frequency after adopting DeepSeek, which they favor specifically for its low cost and loose safety guardrails compared to more expensive alternatives like Kimi K3.
  • Researchers treating AI as an investigation partner rather than an oracle—analyzing possible connections and verifying results against original sources—proved effective in solving decades-old genealogical mysteries involving scattered data across multiple sources.
  • Perplexity's potential $30B valuation with Nvidia backing reflects investor confidence in AI search alternatives, with the company's revenue more than tripling to $750M+ annually.

Topics

SpaceX-Nvidia orbital data center partnershipThomson Reuters proprietary AI model developmentChinese hacking groups using DeepSeekAI design systems and toolsEnterprise AI funding and partnerships

Transcript

Good morning, {{ first_name | AI enthusiasts }}, and welcome to our 3,218 new readers. Sam Altman called data centers in space "ridiculous." Elon Musk just answered with a launch timeline and a big-time hardware partner. SpaceX and Nvidia are officially teaming up on Musk's orbital data centers, aiming for the first racks in space by late 2027. With U.S. data centers piling up opposition, the best option left might be one without any neighbors (yet). Nvidia joins SpaceX’s orbital AI build Thomson Reuters builds its own legal AI model Build a reusable AI design system with Open Design Chinese hackers double attacks with DeepSeek SPACEX & NVIDIA The Rundown: SpaceX just announced it will build its space-based Starmind data…

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