Rafay Systems, the platform provider for cloud and kubernetes automation, has announced the availability of curated infrastructure templates for generative AI use cases that many enterprises are exploring today. According to the company, these templates are designed to bring together the power of Rafay’s Environment Management and Kubernetes Management capabilities, along with best-in-class tools used by developers and data scientists to extract business value from GenAI.
Rafay’s GenAI templates empower platform teams to efficiently guide GenAI technology development and utilization, and include reference source code for a variety of use cases, pre-built cloud environment templates, and Kubernetes cluster blueprints pre-integrated with the GenAI ecosystem.
Customers can easily experiment with services such as Amazon Bedrock, Microsoft Azure OpenAI and OpenAI’s ChatGPT. Support for high-performance, GPU-based computing environments is built into the templates. Traditional tools used by data scientists such as Simple Linux Utility for Resource Management (SLURM), Kubeflow and MLflow are also supported.
Rafay’s GenAI templates simplify the environment setup for deploying AI applications so platform teams can take the lead in AI development, and empower developers and data scientists to harness the full potential of AI.
Developers and data scientists attending Kubecon 2023 in Chicago this week can see live demonstrations at booth C31. All templates, reference designs and sample code are available in Rafay’s Git Repository and Rafay’s Documentation.