Browse the local and global policies and best practices that regulate your electronics supply chain. Carbon capture and storage projects are at an all time high, but will mitigate less than 1% of annual emissions.

Use our tools to make predictions about the emissions in your electronics supply chain. Begin with an overview of transformers models. Then, move on to pre-trained models. Over 50K publicly available pre-trained models exist today.

Transfer learning has changed machine learning to make inferences about the electronics supply chain. We focus on three areas: inference, model graphs and hardware. Order custom tools to track the viability of for your climate tech projects.

DeepSpeed is an open source deep learning optimization library to train large distributed models faster. We optimize model graphs by pairing a pre-trained model with a simple task. We also optimising the weights. We also take the execution provider into account.

Hardware acceleration reduces memory and compute. Emissions reductions and climate improvement will see trillions of dollars of annual investment spent to decarbonize the global economy over the next three decades. Make sure your calculations are solid.

Align with regulatory technical standards, be aware of negative effects on the environment, and quantify efforts to mitigate the problems. Build a specific, climate-first sector and market focus. Contact MobiCycle today to get started.