← All stories
● Covered by 2 sources · 2 reportsMedium impact2 neutral

Mirendil Secures $100M+ Google Cloud Deal for Self-Improving AI Compute

🔄 Updated 1d ago
New to BrevFeed? We gather this story from every outlet covering it into one summary — ranked by real-world impact, not just the latest headline — so you never miss what matters. What is BrevFeed? →

Key points

  • Mirendil signed a multi-year Google Cloud deal worth over $100 million.
  • The partnership provides access to Google TPUs and Nvidia GPUs.
  • Compute capacity will support Mirendil's self-improving AI research.
  • Mirendil aims to accelerate AI development and manage complex training workflows.

Mirendil Partners with Google Cloud

AI lab Mirendil has entered into a multi-year partnership with Google Cloud to secure compute capacity for its research into self-improving AI. The deal is valued at over $100 million, according to Mirendil’s co-founder and CEO, Behnam Neyshabur.

Access to Advanced Compute Resources

Under the agreement, Mirendil will utilize Google Cloud’s AI Hypercomputer, which includes a combination of Google’s TPU AI accelerators and full-stack NVIDIA AI infrastructure. These resources will support both pre-training and post-training applications for Mirendil's AI models.

The ability to choose a mix of both TPU and NVIDIA’s accelerated computing platform through Google Cloud was a factor in Mirendil's decision, providing critical compute resources for their complex, end-to-end training workflows.

Focus on Self-Improving AI

Mirendil is developing AI systems capable of iterative self-improvement, a concept also known as recursive self-improvement. This technology is intended to accelerate and democratize AI research and development, including powering reinforcement learning on a massive scale.

The startup's goal is for its AI to eventually perform the work of an entire frontier AI lab. Mirendil's co-founders previously worked at Anthropic, a major lab also engaged in self-improving AI research.

Industry Trends Reflected

This partnership highlights two current trends in the AI industry: cloud providers are actively pursuing startups with significant infrastructure commitments, and AI companies are seeking to secure as much compute access as possible to support their scaling needs. Mirendil's seed funding, raised at a $1 billion valuation, was roughly double the value of this compute deal.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

The daily brief

One email each morning: the day's tech stories, clustered across outlets and summarized. No account needed.

One email a day. Unsubscribe in one click, any time.

Today's brief

Spend a few minutes, get the whole day. Every topic's top stories in one hands-free rundown — listen, watch, or read the transcript.

~7 min · 6 stories · Aug 15

▶ Play today's brief Listen on Spotify

New every morning, and the back catalogue is archived by date.

How outlets covered it

AI lab Mirendil secured a multi-year partnership with Google Cloud worth over $100 million to access compute capacity for its self-improving AI research. This deal provides Mirendil with Google's TPUs and Nvidia GPUs, enabling the startup to scale its work on AI systems that iteratively improve themselves.

Mirendil, an AI lab, will use Google Cloud's AI Hypercomputer, combining Google's TPU AI accelerators and NVIDIA AI infrastructure, for pre-training and post-training applications. This integration provides Mirendil with flexible compute resources to accelerate AI research and development workflows.