Quantum-Inspired Algorithms Tapped for More Efficient AIQuantum-Inspired Algorithms Tapped for More Efficient AI

A new partnership aims to use quantum-inspired algorithms to enhance AI performance while reducing energy and resource consumption.

High-performance computing company Multiverse Computing plans to use its quantum-inspired algorithms to improve the efficiency of AI models. Its CompactifAI software reduces the size and computational requirements of LLMs, helping organizations save on energy and costs without sacrificing model accuracy.

Kinesis Network, a company specializing in distributed compute optimization, brings its expertise in distributed computing, which enables organizations to utilize unused compute resources more effectively. Its technology dynamically allocates workloads, reducing waste and infrastructure costs, while contributing to sustainability goals.

As the demand for AI capabilities grows, organizations face challenges in managing the significant power and computational needs of large language models (LLMs). This collaboration seeks to address these issues by combining quantum-inspired AI optimization with efficient compute resource allocation.

“This collaboration will power new use cases for AI companies with models currently limited by power and compute requirements,” said Multiverse CEO Enrique Lizaso Olmos.

The partnership integrates Multiverse Computing’s AI model optimization with the Kinesis compute management platform. Together, they aim to deliver technology that not only improves AI performance but also reduces the environmental impact of AI workloads.

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“AI workloads are pushing the limits of what current infrastructure can handle,” said Multiverse chief sales officer Victor Gasper.

“Our partnership with Kinesis allows us to offer a comprehensive approach to optimization, addressing both the performance of AI models and the utilization of compute resources. This collaboration ensures our customers can innovate without compromising on cost or sustainability.”

Both companies have ties to Amazon Web Services (AWS), with Multiverse participating in the AWS Gen AI Accelerator program and Kinesis serving as an AWS partner. Kinesis chief product officer and co-founder Bina Khimani is a former leader at AWS and managed the company’s cost optimization product.  

“The synergy between Kinesis and Multiverse Computing is a game-changer for the AI industry,” said Khimani. “By tackling inefficiencies in both model performance and computational resource allocation, we’re enabling enterprises to achieve more with less. It’s a powerful step forward for both business and the planet.”

As the AI industry faces growing scrutiny over its environmental footprint, the partnership aligns with efforts to promote sustainable technology practices. By reducing energy consumption and optimizing resource use, Multiverse and Kinesis aim to set a precedent for responsible AI innovation.