
- 24-01-2025
- Artificial Intelligence
Multiverse Computing and Kinesis Network partner to optimize AI performance and promote sustainability using quantum-inspired algorithms.
Multiverse Computing and Kinesis Network have teamed up to address the growing demands of AI while reducing energy consumption and optimizing resource usage. By harnessing the power of quantum-inspired algorithms, Multiverse's CompactifAI software enhances AI model performance while minimizing computational requirements, leading to significant energy savings without compromising accuracy.
Kinesis Network’s expertise in distributed computing helps organizations make better use of idle resources, dynamically allocating workloads to reduce waste and lower infrastructure costs. This partnership aims to streamline AI workloads, making them more efficient and sustainable.
As AI continues to push the limits of current infrastructure, this collaboration offers an innovative solution by integrating Multiverse’s AI model optimization with Kinesis’s compute management platform. Together, they aim to empower AI companies to expand their capabilities without the burden of excessive energy usage.
The partnership also aligns with efforts to address the environmental impact of AI, with both companies prioritizing sustainable technology practices. Multiverse’s CEO, Enrique Lizaso Olmos, highlighted that the collaboration would open new possibilities for AI models that were previously constrained by power and compute limitations.
With both companies connected to Amazon Web Services (AWS), this collaboration sets a powerful example for future AI innovations that prioritize both performance and sustainability.
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