Vaire's Reversible Computing Chip Promises 50% Energy Savings
Vaire, a U.K. startup, is pioneering a new computer chip technology that could significantly reduce the energy consumption of AI workloads. Initial tests of Vaire's reversible computing chip components suggest a potential 50% reduction in electricity usage for various computations, including those used in artificial intelligence.
The technology, if independently verified, could lead to widespread commercial adoption. Reversible computing, the principle behind Vaire's innovation, allows chips to recycle almost all the energy they use, emitting minimal heat. This could address the growing energy demands of AI, which are projected to quadruple in the next five years.
Founded in 2021 by Rodolfo Rosini and Hannah Earley, Vaire has operated in stealth mode for three years, refining its chip design. The company has raised $10 million in funding and is now distributing test kits to potential customers and academic labs for further evaluation.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Silicon Brief.
Also, consider following us on social media:
More from: Chips & Data Centers
MinIO AIStor Integrates AWS S3 Express API for Enhanced AI Workloads
EdgeMode Acquires Synthesis Analytics to Boost AI Data Center Capabilities
Strider and SCSP Report Highlights China's AI Infrastructure Expansion
Drut Technologies and Ranovus Collaborate on Co-Packaged Optics for AI Clusters
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more