Best in Class Tech For AI and Optimization
The computational cost of Deep Learning is exploding. The cost of training the latest LLMs can reach up to $100M and is forecasted to double every 10 months. We won't be able to train next AI models without a new technological paradigm.
Key problems, such as electrical distribution in renewable energies, battery design, and hydrogen production, cannot effectively be solved without new algorithms for optimization and AI. Multiverse is spearheading new solutions to tackle these challenges.
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Founded in 2019, we recognized quantum technology's potential to revolutionize AI and optimization solutions. This vision gave rise to Singularity, our advanced platform, created to empower clients. Guided by a customer-centric philosophy, we collaborate to tailor models for specific challenges, aiming to seamlessly integrate user-friendly, disruptive software into the industry landscape.
Quantum physicist. PhD. Ikerbasque Research Professor at DIPC. Visiting professor at the BSC. Johannes Guttenberg Universität Mainz, University of Queensland, Max Planck Institute, CNRS, Marie Curie IIF, Early Career Prize from the European Physical Society. Author of numerous highly-cited papers on quantum physics and computation. Steering Board of Quantum Journal. Partner of Entanglement Partners. Ex-President of GEIC in the RSEF.
The biggest quantum software provider in Europe.
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All the latest news, straight from us.
Multiverse Computing Launches CompactifAI to Streamline LLMs to Reduce Energy Use and Compute Costs
Leveraging quantum-inspired tensor networks, the CompactifAI compressor can also accelerate AI data training and enable new portable use cases for LLMs
Who Is Investing In The $850 Billion Quantum Tech Market And Why
Quantum technologies are among the least widely understood, yet most promising advancements set to disrupt business and industries in the coming years.