AI is transforming enterprises with valuable business insights, increased operational efficiencies and enhanced user experiences with innovative applications that can fuel growth. However, enterprise customers are challenged by the daily demands of balancing growing their businesses while developing, testing and managing AI and deep learning models, workloads and systems from start to application deployment. To help customers address these demands, Red Hat OpenShift Data Science provides a cloud service built on the Kubernetes platform and orchestrates the full ML lifecycle, from data processing to training models to deploying them at the edge. Red Hat OpenShift Data Science enables a cloud-native experience wherever it is deployed—whether in the cloud, on-premises or both—giving customers the ability to choose where to build, deploy and run applications through a consistent experience.
Today we’re pleased Greg Lavender, Intel’s chief technology officer (CTO) and general manager of the Software and Advanced Technology Group, announced on stage at Intel Innovation 2022 that Habana® Gaudi-based Amazon EC2 DL1 Instances will be available on Red Hat OpenShift Data Science platform to provide a new level of deep learning performance and efficiency in developing, training and deploying deep learning models and workloads.
With Red Hat OpenShift Data Science’s Kubernetes-based platform customers will have easy access and management of Gaudi-based Amazon EC2 DL1 instances, which deliver up to 40% better price performance than comparable GPU-based instances1. This enhanced usability and cost-efficiency can enable enterprises to lower cost of AI operations and thus take greater advantage of deep learning through more frequent training and across more business initiatives. With Habana’s SynapseAI Software Suite, developers will be able to easily and quickly build deep learning models or migrate existing models with Gaudi® processors on Amazon EC2 DL1 instances. The Gaudi platform and DL1 instances support TensorFlow and PyTorch frameworks and provide developers with a wide array of computer vision and natural language processing reference models, tools, and support that Red Hat OpenShift Data Science customers will be able to easily access.
Red Hat OpenShift Data Science provides a flexible and scalable platform to develop and train models in a common, trusted environment and enable collaboration across teams, integrating with development workflows. Red Hat OpenShift’s full-stack automated operations and self-service provisioning lets developers get started quickly and work more efficiently to move ideas from conception to production.
Chris Wright, senior vice president and chief technology officer, Red Hat: “We are working with Habana, an Intel company, to make their Gaudi deep learning accelerator available on OpenShift Data Science. This combination delivers cost-efficient, high-performance, deep-learning model training and deployment – all as a managed cloud service.”
Eitan Medina, chief operations officer of Habana Labs: “Habana is committed to making AI and deep learning more accessible to enterprise customers worldwide. From driving ease of access to lowering the total cost of AI operations, we aim to help businesses and end-users unleash the advantages of our purpose-built accelerators. Our engagement with Red Hat can give customers access to the DL1 instances through Red Hat OpenShift Data Science, which perfectly aligns with our objectives. We’re pleased to offer our support and efforts toward our mutual success.”
Customers will be able to access the Gaudi-based Amazon EC2 DL1 instances on Red Hat OpenShift Data Science later this year. For more information on how developers can leverage the platform, see this Red Hat developer program overview.
To learn more about Gaudi and the DL1 instances, see our webpages at https://habana.ai/aws-ec2-dl1-instances/.
1 See Amazon press announcement for more information:
EC2 instance pricing published here: https://aws.amazon.com/ec2/pricing/on-demand/