Multiverse Computing and Kinesis Network Join Forces for a Sustainable, Highly Performant AI Future

Multiverse Computing, a leading quantum software company, and Kinesis Networking Inc., the company solving the computing access shortage for AI developers, researchers, and enterprises, are collaborating to optimize AI performance while reducing resource consumption.

As AI continues to maintain its grip on the public consciousness, enterprises are facing a plethora of challenges regarding supporting these workloads. AI drains significant resources, and efforts to compromise often lead to model inaccuracies and poor performance.

To address these challenges, Multiverse Computing and Kinesis are combining their individual strengths within a comprehensive solution that strikes the balance between AI innovation, efficiency, and sustainability. With Multiverse Computing’s advanced quantum-inspired algorithms for optimizing large language model (LLM) performance and efficiency, and Kinesis’ compute optimization platform, the two companies confront the AI computing crisis head-on.

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

“We have found the perfect partner for our first significant U.S. partnership,” said Enrique Lizaso Olmos, CEO and co-founder of Multiverse Computing. “This collaboration will power new use cases for AI companies with models currently limited by power and compute requirements.”

Centering efficiency and performance, this collaboration not only democratizes AI for more enterprises, but sets a course for a more sustainable AI future, according to the companies.

“The synergy between Kinesis and Multiverse Computing is a game-changer for the AI industry,” said Bina Khimani, chief product and revenue officer of Kinesis. “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.”

To learn more about Multiverse Computing and Kinesis, please visit https://multiversecomputing.com/ or https://kinesis.network/.