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Mirendil's $100 million Google Cloud partnership secures critical TPU and GPU access essential for training recursive self-improvement models. This infrastructure commitment directly supports the startup's goal of automating scientific discovery in domains like medicine and materials science, distinguishing it from standard cloud procurement deals focused on general inference or application deployment.
Source coveringTechCrunch
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI

TechCrunch3 min read

Mirendil has signed a $100 million-plus Google Cloud partnership to expand its compute infrastructure, powering research into self-improving AI systems designed to accelerate scientific discovery and AI development.

AI lab Mirendil has signed a multi-year partnership with Google Cloud to source compute capacity for its self-improving AI research, TechCrunch has exclusively learned. The deal mirrors two trends shaping the AI industry: cloud giants are courting startups with huge infrastructure commitments, and AI companies are snatching up as many compute deals as they can to secure…

Excerpt shown under the publisher's RSS terms · 57 words · full text and figures are on the publisher's site

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