Overview
Zero-Emissions AI Infrastructure: A Case Study of atNorth and Neu.roApolo |
Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Hybrid Cloud | |
Cement Construction & Infrastructure | |
Facility Management Product Research & Development | |
Construction Management Infrastructure Inspection | |
Cloud Planning, Design & Implementation Services Training | |
Operational Impact
The solution provided by Neu.ro has allowed atNorth to offer a compelling alternative to other major AI development platforms such as AWS Sagemaker. This has enabled them to leverage their existing corporate client base, offering ease and flexibility for creating, training, testing and deploying models. The platform also provides additional functionality permitting multi-cloud and hybrid cloud architectures and a selection of ready and pre-integrated AI/ML products, apps and APIs for use. This provides users with advantages in terms of reduced cost, time, difficulty and risk for AI development projects. Furthermore, the platform includes an integrated toolset to manage the environmental impact of AI programs, allowing users to monitor the CO2 footprint of every job, model, project, team and optimize compute usage to balance performance and environmental impact. | |
Quantitative Benefit
100% powered by geothermal & hydro generation | |
AI’s portion of electricity consumption is growing much higher than other technologies | |
In less than 5 years, the leading language model will have increased in size by over 100,000x | |