What's Happening?
Multiverse Computing, a Spanish startup, has released a free compressed AI model, HyperNova 60B, which is half the size of its predecessor and offers lower memory usage and latency. The model is available on Hugging Face and aims to close the gap between
frontier models and affordable deployment for companies. The compression technology, CompactifAI, is inspired by quantum computing and applied to models released by OpenAI. Multiverse plans to open-source more compressed models in 2026 to support diverse use cases. The company is expanding globally, with offices in the US, Canada, and Europe, and is rumored to be raising a significant funding round.
Why It's Important?
The release of HyperNova 60B represents a significant step in making advanced AI technology more accessible to businesses that may not have the resources to deploy larger models. By reducing the size and resource requirements, Multiverse Computing is enabling more companies to leverage AI for various applications, potentially democratizing access to AI technology. This move could stimulate innovation and competition in the AI sector, as smaller firms can now experiment with AI without the prohibitive costs associated with larger models. Additionally, Multiverse's expansion and potential funding round indicate growing interest and investment in AI solutions that offer sovereign capabilities across the AI stack.
What's Next?
Multiverse Computing's ongoing discussions with investors suggest that the company is poised for further growth and development. The anticipated funding round could accelerate the release of more compressed models and expand the company's reach in the AI market. As Multiverse continues to position itself as a provider of sovereign AI solutions, it may attract more enterprise customers seeking alternatives to US-based tech giants. The company's collaboration with regional governments and participation in significant funding rounds highlight its strategic approach to expanding its influence in the AI industry.









