Presenters:
Sree Ganesan, AI Software Product Management, Habana Labs
Bob Glithero, Product Marketing Lead, cnvrg.io
Enterprises that want more value from their data science initiatives face the challenge of matching workloads with the right compute resources, whether these are deployed on-premises or in the cloud. Indeed, many AI projects become mired in the limitations of existing IT infrastructure that aren’t tuned to the specific demands of AI workloads, or that can’t easily burst from the data center to the cloud.
In this webinar, cnvrg.io and Habana Labs will show you how enterprises can bypass these limitations with a demonstration of the new Gaudi-accelerated AWS DL1 instance within a cnvrg Metacloud training environment.
Habana Gaudi delivers cost-efficient AI training, whether those models are running in your own data center, in the cloud, or both. DL1 instances provide up to 40% better price performance for training deep learning models compared to current generation GPU-based EC2 instances. cnvrg.io Metacloud, in turn, makes it easy for developers to take advantage of Gaudi’s cost-efficiency in their training pipelines within minutes!
If you are a data scientist or an AI developer who needs an easy way to optimize compute resources that are specifically tailored to the demands of deep learning, you won’t want to miss this session.
Presenters:
Sree Ganesan, AI Software Product Management, Habana Labs
Bob Glithero, Product Marketing Lead, cnvrg.io
Enterprises that want more value from their data science initiatives face the challenge of matching workloads with the right compute resources, whether these are deployed on-premises or in the cloud. Indeed, many AI projects become mired in the limitations of existing IT infrastructure that aren’t tuned to the specific demands of AI workloads, or that can’t easily burst from the data center to the cloud.
In this webinar, cnvrg.io and Habana Labs will show you how enterprises can bypass these limitations with a demonstration of the new Gaudi-accelerated AWS DL1 instance within a cnvrg Metacloud training environment.
Habana Gaudi delivers cost-efficient AI training, whether those models are running in your own data center, in the cloud, or both. DL1 instances provide up to 40% better price performance for training deep learning models compared to current generation GPU-based EC2 instances. cnvrg.io Metacloud, in turn, makes it easy for developers to take advantage of Gaudi’s cost-efficiency in their training pipelines within minutes!
If you are a data scientist or an AI developer who needs an easy way to optimize compute resources that are specifically tailored to the demands of deep learning, you won’t want to miss this session.