
Explore the environmental and social benefits of open source data centers with insights from David Gyulnazaryan.

Reduce carbon footprint and costs by adopting serverless architecture. Learn how it improves efficiency for developers, billing, and CO2 emissions compared to traditional infrastructure.

Model a bouncing ball using Python, exploring physics concepts and coding techniques to simulate realistic motion and collisions.

Learn to solve a physics problem involving energy conservation and force calculations for a jumping basketball player.

Explore how diverse perspectives and collective strengths can effectively address climate change and drive sustainability efforts in our interconnected world.

Explore Berkeley Lab's journey from atomic age to supercomputing forefront. Discover exascale computing challenges, energy efficiency innovations, and future HPC directions with specialized hardware and chiplets.

Explore eco-friendly coding practices to reduce software's environmental impact. Learn optimization techniques for energy-efficient applications and data centers, contributing to a greener digital future.

Reduce Kubernetes cluster CO2 footprint with Kube-green: Learn to implement pod sleep schedules during weekends and off-hours for improved sustainability.

Explore energy-efficient AI methods and solutions for sustainability, featuring insights from industry and academia experts.

Explore smart, sustainable AI methods and solutions for energy efficiency and optimization in complex machine learning systems.

Explore energy-efficient AI methods and solutions for sustainability, with insights from industry and academia experts.

Innovative edge server design using mobile SoCs for improved energy efficiency in cloud gaming, video transcoding, and deep learning inference, with insights on performance and cost-effectiveness.

Discover 7 key sustainability practices for developers to reduce environmental impact. Learn practical tips for eco-friendly coding, hardware longevity, cloud optimization, and responsible AI implementation.

Explore strategies for achieving data center sustainability using open hardware solutions. Learn innovative approaches to reduce environmental impact and optimize efficiency.

Explore os fundamentos matemáticos da otimização de veículos híbridos, abordando técnicas avançadas para melhorar eficiência energética e desempenho operacional.

Discover how to build eBPF-powered observability solutions for sustainable computing, optimizing AI/ML workloads on Kubernetes to reduce energy consumption and environmental impact while maintaining performance.

Explore dynamic GPU scaling in containerized environments using Composable Disaggregated Infrastructure (CDI), focusing on efficient resource allocation and energy optimization for AI workloads.

Discover how digital powertrain analysis and connected motor data can optimize industrial energy efficiency, reduce costs, and support Net Zero targets through strategic improvements.

Discover how SK Telecom optimizes cooling systems in telecommunication facilities using AI, focusing on energy efficiency, remote control capabilities, and sustainable operations.

Discover how AI and machine learning optimize urban infrastructure, from buildings to transport systems, creating smarter, energy-efficient cities through predictive control and automated decision-making.

Explore key strategies and opportunities for improving cloud storage sustainability, focusing on Microsoft Azure's approach to reducing data center carbon footprint and environmental impact through innovative solutions.