Revolution Computing
Revolution Computing builds microprocessor architecture that accelerates sparse machine learning workloads to improve performance and energy efficiency. It implements the Revolution Architecture, a redesigned microprocessor optimized for irregular compute and abundant data-access patterns found in sparse ML models. The company offers AI infrastructure hardware targeting datacenter and edge OEMs, cloud providers, and enterprise ML teams. Revolution Computing operates in the AI hardware category, focusing on chip-level innovations to address scalability and efficiency for emerging sparse workloads.
Revolution Computing
Revolution Computing builds microprocessor architecture that accelerates sparse machine learning workloads to improve performance and energy efficiency. It implements the Revolution Architecture, a redesigned microprocessor optimized for irregular compute and abundant data-access patterns found in sparse ML models. The company offers AI infrastructure hardware targeting datacenter and edge OEMs, cloud providers, and enterprise ML teams. Revolution Computing operates in the AI hardware category, focusing on chip-level innovations to address scalability and efficiency for emerging sparse workloads.
TL;DR
Founded: 2017
Headquarters: Cedar Park, Texas, United States
Focus: Microprocessor architecture for accelerating sparse machine-learning workloads
Tech / Product: Revolution Architecture — chip-level hardware for datacenter and edge AI infrastructure
Funding signal: Non-equity assistance (reported support from MassChallenge and NSF)
Company Overview
Problem Domain
Hardware acceleration for sparse machine-learning workloads
Founded
2017
Industry
DeepTech
Funding Track Record
224,643
Reported non-equity assistance; listed supporters include MassChallenge and the U.S. National Science Foundation
Investor Signal
“Reported support from MassChallenge and the U.S. National Science Foundation”