Green AI Cloud and Cerebras Systems Bring Industry-Leading AI Performance and Sustainability to Europe

As the Only European Provider of Cerebras Cloud, Green AI Cloud Delivers AI Super Compute in an Easy-to-Use Solution for AI and ML Applications, Data Science and Simulation Workloads

Cerebras Systems, the pioneer in high performance artificial intelligence (AI) compute, and Green AI Cloud, the most sustainable super compute platform in Europe, announced the availability of Cerebras Cloud at Green AI. As the first cloud computing provider in Europe to offer the industry-leading CS-2 system, Green AI customers now can easily train GPT-class models much faster than traditional cloud service providers and with significantly less environmental impact.

Latest NaturalAI Insights: InspireXT Announces Acquisition Of NaturalAI – A Conversational Artificial Intelligence Platform To Expand Its Solution Portfolio

“We are thrilled to offer our customers access to the industry-leading CS-2 system, powered by the 850,000 AI core WSE processor, which will greatly reduce their initial programming work and enable easy integration with existing workflows”

The Green AI Cloud is a pioneer in clean energy compute. The Green AI Cloud uses only renewable energy (Hydro and Wind Power) in its datacenter placed in the north of Sweden and converts the excess heat from operations into a heated liquid for industrial product manufacturing– resulting in a negative CO2 footprint. With its new Cerebras Cloud offering, customers can now train leading generative Transformer (GPT)-class models, including GPT-J, GPT-3 and GPT-NeoX, with the promise of equivalent carbon offsets through Green AI’s uniquely sustainable and “carbon-intelligent” cloud.

“We are thrilled to offer our customers access to the industry-leading CS-2 system, powered by the 850,000 AI core WSE processor, which will greatly reduce their initial programming work and enable easy integration with existing workflows,” said Jacob Bostrom, Founder and CEO of Green AI Cloud. “By providing the latest and fastest AI technology through our partnership with Cerebras, we continue to not only drive the future of AI innovation, but also the next era of sustainability and environmental responsibility.”

AI News: Darth Vader, Cyber Cartography and the Future of Creativity—Powered by AI

Energy Efficiency and CO2 Reduction – Examples

• Cerebras CS-2 is 3,5 times more energy efficient than NVIDIA® A100 for multi-b****** parameter NLP models, including GPT-J, GPT-3 and GPT-3XL.
• Cerebras CS-2 is 6 times more energy efficient than NVIDIA V100 for AI model ‘BERT Base’ (according to University of Massachusetts Amherst and MIT Technology Review).
• Using Green AI Cloud compared to other European Cloud providers when training a single deep learning AI transformer model, the resulting carbon offset is equivalent to the annual CO2 absorption from 11 000 trees!

Safeguarding Data Security and Privacy Regulations

The EU has some of the strictest data privacy and security rules in the world. A cloud provider based in the EU, such as Green AI Cloud, enables customers across the EU to benefit from Cerebras’ industry-leading AI compute and stay within the data privacy structures. Customers across segments, from pharmaceutical to finance services, and energy to heavy manufacturing, now have push-button access to the Cerebras CS-2 system and can use it by the day, week, or month.

“Cerebras is committed to delivering AI compute – via cloud, on premise or hybrid – to our customers around the world in the most environmentally efficient way possible,” said Andrew Feldman, co-founder and CEO, Cerebras Systems. “As the leader in energy efficient AI compute, it was an obvious choice to partner with and deliver AI compute to the Green AI Cloud.”

Cerebras recently announced its AI Model Studio, as well as partnerships and wins with Sandia National Laboratory and generative AI pioneer Jasper. At the NeurIPS Conference earlier this month, Cerebras broke new ground demonstrating high sparsity training on GPT class models, showing that GPT models can be trained at 90% sparse, using a fraction of the FLOPs and time, and still achieve the same accuracy.

The Natural Language Processing Techniques : The Electronic Medical Records Market Sees A Rising Adoption Of The Natural Language Processing Techniques By The Business Research Company

 [To share your insights with us, please write to sghosh@martechseries.com]