Introducing Prime Intellect – democratizing AI development at scale, from compute to intelligence. https://lnkd.in/eMJMG8rd We are excited to announce our $5.5M Seed Round co-led by Distributed Global and CoinFund, with participation from Compound, Collab+Currency, Protocol Labs, and an incredible group of angel investors incl. Clem Delangue (Hugging Face Founder), Dylan Patel (SemiAnalysis Founder), Riva Tez (Layerzero), Erik Voorhees (ShapeShift), Shivani Mitra (Nous Research), Dominik Clemente (Worldcoin), @rjdrost (Eigen Labs), Ben Fielding (Gensyn), ID Theory, Scott Moore (Gitcoin), Andrew Kang (Mechanism Capital), Joe Lallouz (ex Coinbase Cloud), Tyler Golato and Paul Kohlhaas (Molecule), Bool Capital (ex Wormhole), DCFGod, Fabian Wetekamp (Tribute Labs), Steven W. (Orchid), Sami Kassab (OSS), Yonatan Ben Shimon Justin Mares, Janine Leger, Gmoney and many more. 🎉 Fortune covered the exciting news, and we've shared the article in the comments below. Johannes Hagemann and Vincent Weisser started Prime Intellect with the belief that decentralizing AI development is crucial for driving unprecedented progress in high-impact domains such as language models, coding agents, and scientific breakthroughs. By making large-scale AI development more accessible, we aim to unlock a new wave of open AI innovation that benefits all of humanity. Over the past four months, we built Prime Intellect into a platform that aggregates global compute resources and enables researchers to collaboratively train state-of-the-art AI models through distributed training across clusters. Our vision is to democratize AI development, allowing anyone to contribute compute, capital, and code to train open AI models and share in their ownership and benefits. This is just the beginning of our journey, and we are excited to work with our community to build the open future of AI. Our roadmap includes developing robust distributed training frameworks, collaboratively training impactful AI models, and launching a decentralized protocol for collective ownership and governance of AI. We are grateful to have an amazing team that is growing quickly with Kemal Erdem, Sami Jaghouar, Johannes Weniger and Mario S. and early collaborators (researchers, compute providers, and capital contributors), and investors for believing in our mission and joining us on this incredible journey!
Prime Intellect
Software Development
Find Compute. Train Models. Co-Own Intelligence.
About us
Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.
- Website
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https://www.primeintellect.ai/
External link for Prime Intellect
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- San Francisco
- Type
- Privately Held
Locations
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Primary
San Francisco, US
Employees at Prime Intellect
Updates
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Prime Intellect reposted this
With consumer grade GPUs generating data, decentralized AI is bound to flourish. Prime Intellect Co-Founder and CTO Johannes Hagemann breaks down the current state of this sector in Around the Block: Decentralized Training. Watch the full video on YouTube and download on Apple and Spotify. https://lnkd.in/exmgNFVq https://lnkd.in/eiGRscwD https://lnkd.in/eU_HZ-7b
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Prime Intellect reposted this
Around the Block: Decentralized Training 🚀 An exciting discussion hosted by CoinFund CEO Jake Brukhman featuring our CTO, Johannes Hagemann, and other leaders in decentralized AI. This 90-minute session explores how decentralized training is paving the way for open and accessible AGI. Don’t miss the insights from other leaders in decentralized AI like our own Johannes — Pluralis Research Founder and CEO Alexander Long, Bagel 🥯 Founder and CEO Bidhan R., Gensyn COO Jeffrey Amico, Kiva AI Founder and CEO Ahmed Rashad. Watch the conversation now and see how decentralized AI is transforming the game! 🔗 https://lnkd.in/g_ev5T3k
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Around the Block: Decentralized Training 🚀 An exciting discussion hosted by CoinFund CEO Jake Brukhman featuring our CTO, Johannes Hagemann, and other leaders in decentralized AI. This 90-minute session explores how decentralized training is paving the way for open and accessible AGI. Don’t miss the insights from other leaders in decentralized AI like our own Johannes — Pluralis Research Founder and CEO Alexander Long, Bagel 🥯 Founder and CEO Bidhan R., Gensyn COO Jeffrey Amico, Kiva AI Founder and CEO Ahmed Rashad. Watch the conversation now and see how decentralized AI is transforming the game! 🔗 https://lnkd.in/g_ev5T3k
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Excellent discussion coming soon on Decentralized Training hosted by CoinFund and joined by our own Johannes Hagemann 🦋✨
While we’re talking predictions, CoinFund CEO and Founder Jake Brukhman is calling Decentralized AI Summer 2025. But before then, it’s important you’re up to speed on how this non-consensus approach to training has the potential to challenge AI as we know it. Tune into Around the Block: Decentralized Training on December 11, a 90-minute conversation on DeAI with Pluralis Research CEO and Founder Alexander Long, Gensyn COO Jeffrey Amico, Kiva AI Founder and CEO Ahmed Rashad, Prime Intellect Co-Founder and CTO Johannes Hagemann, and Bagel 🥯 Founder and CEO Bidhan R. Subscribe to our YouTube channel to get it first. https://lnkd.in/dMwTY8YE #DeAIsummer2025 #decentralizedtraining #web3 #ai
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We’re headed to NeurIPS in Vancouver 🇨🇦 Join us on Saturday, December 14, from 5:00-8:00 PM for a deep dive into decentralized training and the journey toward open-source AGI. We’d love to see you there! 🦋✨ Register here: 🔗 https://lu.ma/d4t6ywy4
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We are hiring! Join us to scale decentralized training towards open source AGI 🦋 https://lnkd.in/gUWEdWns
Prime Intellect is looking for a Founding GTM leader to help scale the Prime Compute platform and enable decentralized training. If you or someone you know could hit the ground running for this opportunity, please reach out and or apply directly. https://lnkd.in/gbBVkN3q
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Prime Intellect reposted this
We are excited to release INTELLECT-1 — The first 10B parameter model trained across the globe. INTELLECT-1 was built on our open-source PRIME framework to create a scalable foundation for distributed large-scale model training to rival centralized training facilities. INTELLECT-1 was trained with over 1 trillion tokens across three continents using up to 112 H100 GPUs simultaneously, demonstrating that large-scale model training can be achieved through distributed community-driven approaches. By open-sourcing INTELLECT-1's model, checkpoints, and training framework, we invite the global AI community to join us in pushing the boundaries of decentralized training. Learn more ↘ https://lnkd.in/gUqnbTEe
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We are excited to release INTELLECT-1 — The first 10B parameter model trained across the globe. INTELLECT-1 was built on our open-source PRIME framework to create a scalable foundation for distributed large-scale model training to rival centralized training facilities. INTELLECT-1 was trained with over 1 trillion tokens across three continents using up to 112 H100 GPUs simultaneously, demonstrating that large-scale model training can be achieved through distributed community-driven approaches. By open-sourcing INTELLECT-1's model, checkpoints, and training framework, we invite the global AI community to join us in pushing the boundaries of decentralized training. Learn more ↘ https://lnkd.in/gUqnbTEe
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INTELLECT-1 — the first decentralized training of a 10B model is complete! The model was trained across the US, Europe, and Asia 🌐 Post-training with Arcee.ai is underway, and a full open-source release is coming in ~1 week, including: base model, checkpoints, post-trained model and data.