Organizations Using the energy-aware-computing Tag to Implement Energy-Efficient, Low-Power and Carbon-Aware Computing Practices
Discover organizations filtered by the tags pillar that are tagged with energy-aware-computing and explore how they apply energy-efficient architectures, low-power algorithms, carbon-aware scheduling, and green data center practices across cloud-native applications, edge computing, and embedded systems. This curated list of organizations highlights practical case studies, open-source projects, research partnerships, and grant-backed initiatives that reduce power consumption—from energy-efficient ML inference, hardware-aware compilers, and dynamic voltage-frequency scaling to workload placement and carbon-aware orchestration for distributed systems. Use the filtering UI to narrow by ecosystem, technology stack, impact metrics, or deployment pattern, compare measurable energy savings, and export contacts or repositories to accelerate adoption. Browse the organizations now to evaluate partners, contributors, and projects driving scalable, low-power solutions and sustainable infrastructure.
