Ampere AI

"Switching to Ampere-optimized Tensorflow running on OCI A1 instances has enabled us to achieve a 75 percent cost saving for the training of the algorithms for our plastics and fabrics identification machines, while lowering our CO2 emissions - thanks to Ampere Altra’s high energy efficiency."

-Martin Holicky, CEO, Matoha

"Lightly.ai’s customers can achieve over 3x cost reduction running on Ampere T2A instances on GCP using Ampere AI software solutions for AI Inference, in addition to optimized performance. The next generation AmpereOne C3A instances on GCP will deliver on this continued value proposition."

-Igor Susmelj, Lightly.ai’s Co-founder

“This breakthrough Wallaroo/Ampere solution allows enterprises to improve inference performance, increase energy efficiency, and balance their ML workloads across available compute resources much more effectively, all of which is critical to meeting the huge demand for AI computing resources today also while addressing the sustainability impact of the explosion in AI.“

-Vid Jain, chief executive officer of Wallaroo.AI

"Using Ampere A1 instances on OCI with integrated Ampere Optimized AI library, we managed to right-size compute providing price-performance advantage on deep learning inferencing relative to GPUs and to other CPUs. We found an order of magnitude or more reduction in cloud resource costs, measured at 4 operating points for 2 cloud vendors, while avoiding operational complexity for changes in model serving resource needs and cloud offerings."

Khawaja Shams, Co-founder and CEO, Momento

"Switching to Ampere-optimized Tensorflow running on OCI A1 instances has enabled us to achieve a 75 percent cost saving for the training of the algorithms for our plastics and fabrics identification machines, while lowering our CO2 emissions - thanks to Ampere Altra’s high energy efficiency."

-Martin Holicky, CEO, Matoha