Global Head of Business Development and Partnerships @ Run:ai | ex-AWS, ex-Google, ex-Cloudera | Data and AI | Duke MBA
Super thrilled about our partnership with Amazon Web Services (AWS) to help customers maximize value of NVIDIA GPUs on the cloud!! Exciting news for ML teams managing hybrid infrastructure: Run:ai now integrates with Amazon SageMaker HypePod from @Amazon Web Services, making it easier than ever to seamlessly extend AI infrastructure across both on-premises and public/private cloud environments. 1. Unified GPU Resource Management Across Hybrid Environments 2. Enhanced Scalability and Flexibility 3. Resilient Distributed Training 4. Optimized Resource Utilization Check out all the entails in our blog and stay tuned for more collaboration with AWS, including our joint reference architecture, outlining best practices and configurations for managing hybrid environments Guy Farber Jacob Kern Itamar Ami Timothy Ma Yashesh Shroff Ankur Srivastava Prabha Ganapathy Jake Ramirez Kress Franzen Serge Shevchenko Cody Singer Joseph Fu Neir Benyamin Robert Magno Ronen Dar Yael Dor
Kress Franzen
1mo
This is outstanding, love to see the partnership grow.
Eduardo Ordax
1mo
These are great news!!!
Congrats Sandeep
Joseph Fu
1mo
Thank you for the partnership Sandeep Brahmarouthu and the entire Run:ai team for making this possible!
Global Head of Business Development and Partnerships @ Run:ai | ex-AWS, ex-Google, ex-Cloudera | Data and AI | Duke MBA
1moLink to the blog post: https://www.run.ai/blog/announcing-amazon-sagemaker-hyperpod-run-ai-integration