Multiverse Computing's HyperNova 60B Emerges as Energy-Efficient AI Leader — MULTIVERSE COMPUTING, S.L.

Event summary

Multiverse Computing's HyperNova 60B model ranked as the most parameter-efficient in the 40B–150B open-weights size class by Artificial Analysis.
HyperNova 60B is the only European model in the 'most attractive quadrant' of Artificial Analysis's intelligence-versus-size comparison.
The model uses CompactifAI technology to reduce parameters while maintaining high intelligence scores.
HyperNova 60B runs on a single GPU with under 40GB of memory, enabling local deployment in regulated environments.
The model is available free under Apache 2.0 on Hugging Face.

The big picture

Multiverse Computing's achievement comes as European policymakers and enterprises prioritize AI that is cheaper to run, lower in energy consumption, and deployable on-premise without reliance on US hyperscalers. The company's quantum-inspired CompactifAI technology positions it as a key player in the growing market for sovereign AI solutions. With over 100 global customers, including major enterprises like Iberdrola and Bosch, Multiverse Computing is well-positioned to capitalize on the shift towards energy-efficient and locally controlled AI infrastructure.

What we're watching

Market Adoption: How quickly European enterprises will adopt HyperNova 60B as a sovereign AI solution.
Regulatory Impact: Whether European AI policy initiatives will accelerate the demand for locally deployable models.
Technological Edge: The pace at which Multiverse Computing can maintain its lead in parameter-efficient AI models.