While the title may pack a lot of information, tomorrow's Webinar on setting up machine learning workloads using GPUs, OpenShift and cnvrg.io should be packed with even more. Red Hat's Tushar Katarki will be joined by John Barco of NVIDIA and Yochay Ettun of cnvrg.io to explain the architecture and best practices laid out in the title.
You will learn how to:
- Leverage NVIDIA MIG technology to expand the performance and value of each NVIDIA A100 Tensor Core GPU
- Execute diverse workloads with MIG instances on Kubernetes infrastructure
- Share GPUs and MIG instances with cnvrg.io meta-scheduler, accomplishing high utilization and data science productivity
- Deliver self service attachment of MIG instances to any ML job
- Build an ML pipeline with multiple jobs with right-sized GPU and guaranteed quality of service (QoS) for every job
Be sure to sign up ASAP as slots for this free Webinar are filling up fast!
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