Unleashing LLaMA 3.1 70B on Oracle Kubernetes Engine with A100 GPUs скачать в хорошем качестве

Unleashing LLaMA 3.1 70B on Oracle Kubernetes Engine with A100 GPUs

Discover how to deploy the powerful LLaMA 3.1 70B model on Oracle Kubernetes Engine (OKE) with A100 GPUs for scalable and efficient AI workloads. In this step-by-step guide, we: 1. Create a Kubernetes cluster with a GPU-enabled node pool. 2. Access and configure each node. 3. Mount a shared file system as a persistent volume. 4. Use Ray to set up a distributed compute cluster. 5. Deploy LLaMA 3.1 70B using vLLM for memory-efficient inference. 6. Showcase deployments on 2-node and 4-node clusters. This setup ensures optimized inference, seamless integration, and efficient resource management, ideal for NLP, AI-driven customer support, and more. Presenters and contributors: Nitin Satpute, GPU Solutions Specialist, Oracle EMEA Check and register below for the upcoming sessions: https://bit.ly/3NXe0qB Visit the AI Solutions Hub: oracle.ai Join us on our Slack community: https://oracle-emea-pub.enterprise.sl... Note: Screens and flows may have changed. If you liked this session and would be happy to leave feedback on it, please reach us at: contact-dcx-emea_ww@oracle.com. #OracleKubernetesEngine #LLaMA #A100GPU #DistributedComputing #RayCluster #AI #NLP #OracleCloud ---------------------------------------------- Copyright © 2024, Oracle and/or its affiliates.