Analog Computation is a U.S.-based technology and consulting firm specializing in analog computing solutions, hardware design, and computational infrastructure for emerging applications. The company focuses on analog and hybrid analog-digital systems as an energy-efficient alternative to traditional digital computing, particularly for high-performance tasks in AI, signal processing, scientific simulations, and potentially power-intensive workloads like cryptocurrency mining or HPC. Analog Computation provides advisory, custom hardware development, and optimization services to clients exploring next-generation compute architectures. The firm emphasizes innovation in low-power, high-speed analog processing to address limitations of digital scaling. As of December 23, 2025, Analog Computation is active with ongoing R&D, consulting, and development in analog computing technologies, though limited public details are available beyond the core focus.
Describe your needs and we will be in touch shortly with additional details and pricing information.
Check out the blog for fresh news, tips, and industry analysis to keep yourself ahead of the curve.

June 2026 Bitcoin Mining & AI Infrastructure Update: Kevin O’Leary scales back massive Utah AI project after political backlash, MARA transforms with $1.5B Ohio power plant acquisition, Bitdeer breaks ground on 100 MW Alberta gas-powered site, IREN accelerates Nvidia AI pivot, DMG signs 50 MW AI colocation LOI, plus regulatory moves in North Carolina, Riot patent lawsuit, Strategy’s $10.8B unrealized loss, and Cathie Wood’s $1.5M BTC target.




June 2026 Bitcoin Mining & AI Infrastructure Update: Kevin O’Leary scales back massive Utah AI project after political backlash, MARA transforms with $1.5B Ohio power plant acquisition, Bitdeer breaks ground on 100 MW Alberta gas-powered site, IREN accelerates Nvidia AI pivot, DMG signs 50 MW AI colocation LOI, plus regulatory moves in North Carolina, Riot patent lawsuit, Strategy’s $10.8B unrealized loss, and Cathie Wood’s $1.5M BTC target.


