SpaceX Signs $6.3B Reflection AI Deal, Nvidia Eliminate Data Center Water

2026-06-23 · Source: Artificial Intelligence: Educational AI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

SpaceX has reportedly secured a \$6.3 billion compute deal with Reflection AI, an open-source lab, granting access to Nvidia GB300 chips at the Colossus 2 data center through 2029, with monthly payments of \$150 million. This highlights growing investment in open-source AI infrastructure. Concurrently, Nvidia's new Rubin AI servers feature 45°C coolant, effectively eliminating data center water consumption and increasing rack density, potentially reducing the need for new physical data centers. Apple is embedding AI directly into iOS 27 core applications like Messages and Mail, introducing features such as bill splitting from photos and automatic password rotation, rather than solely relying on a chatbot interface. Furthermore, EcoWave Power, utilizing Nvidia AI, operates a grid-independent data center at the Port of Los Angeles, powered by ocean waves, with AI optimizing compute workloads to match energy generation. An Oxford/ASI study also revealed that frontier AI models, including Claude Opus 4.1/4.6, outperform human debaters and fundraisers in persuasion and donation rates, primarily due to their speed and information density.

Key takeaway

For Directors of AI/ML evaluating infrastructure investments, recognize that advanced liquid cooling solutions like Nvidia's Rubin servers can eliminate water consumption and increase compute density, making new data center builds more efficient and less controversial. Your strategic planning should account for these technological shifts and the geopolitical implications of compute capacity, potentially favoring domestic infrastructure development. Consider how AI's persuasive power, driven by speed, impacts model design.

Key insights

AI's persuasive edge comes from speed and information density, not just superior reasoning.

Principles

• AI compute infrastructure is a geopolitical asset.
• Liquid cooling eliminates data center water use.
• AI optimizes renewable energy integration.

Method

Nvidia's Omniverse Digital Twin simulates wave conditions to schedule energy-intensive training jobs during high-output wave periods for wave-powered data centers.

In practice

• Embed AI into core applications for utility.
• Implement AI for automated password rotation.
• Use AI for bill splitting from receipt photos.

Topics

• AI Infrastructure
• Data Center Cooling
• NVIDIA GB300
• Wave Energy
• AI Persuasion
• Apple AI

Best for: Investor, CTO, VP of Engineering/Data, AI Scientist, Director of AI/ML, AI Engineer

Related on AIssential

• Nvidia says its AI data center design runs hotter to use a lot less water — Nvidia's Rubin data center design achieves near-zero water usage by employing high-temperature liquid cooling and direct chip heat capture.
• SpaceX signs $6.3 billion AI computing deal with Reflection AI — SpaceX's \$6.3 billion deal with Reflection AI highlights the strategic value of AI computing infrastructure and the growing demand for open-source AI.
• Nvidia wants to cut data center water use, but that’s not the same as fixing AI’s water problem — Nvidia's new cooling system addresses only a fraction of AI data centers' total water footprint by ignoring external electricity generation.
• What if building more grid capacity isn’t the answer? Solving ‘phantom compute’ could address data centre efficiency — "Phantom compute" from junk data bottlenecks AI development; efficient data governance can boost GPU utilization and cut compute demand.
• SpaceX IPO Filing Ties AI Growth to Water Access — AI infrastructure growth faces critical physical limits, with water access now a key constraint for data center expansion.
• Meta Expands AI Compute Deal, Nvidia GTC Kicks Off — Major tech firms are balancing aggressive AI investments with strategic cost-cutting and market expansion efforts.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence: Educational AI News.