One of the most essential attributes of the public cloud is optimizing the sharing of specialized resources. In the data center, we have resources such as GPUs that are difficult to share across multiple systems. AWS Elastic Inference is a production use case of Amazon sharing inference engines at scale. #aws #AWSEveryday
- Elastic Inference - Sharing Finite Resources at AWS Scale ( Download)
- Accelerate Your AI Workflows to the Next Level with Amazon Elastic Inference ( Download)
- Accelerate Your AI Workflows to the Next Level with Amazon Elastic Inference ( Download)
- AWS re:Invent 2023 - Deploy gen AI apps efficiently at scale with serverless containers (CON303) ( Download)
- AWS re:Invent 2018: ML Workflows with Amazon SageMaker and AWS Step Functions (API325) ( Download)
- AWS re:Invent 2023 - Accelerate ML and HPC with high performance file storage (STG340) ( Download)
- AWS re:Invent 2022 - HBO Max achieves scale and performance with Amazon ElastiCache (DAT214) ( Download)
- AWS re:Invent 2017: NEW LAUNCH! Infinitely Scalable Machine Learning Algorithms with (MCL341) ( Download)
- Accelerating Stable Diffusion with Hugging Face and AWS Inferentia2 ( Download)
- AWS re:Invent 2022 - Redefining supercomputing on AWS (CMP222) ( Download)
- AWS re:Invent 2020: HPC on AWS: Innovating without infrastructure constraints ( Download)
- AWS re:Invent 2019: Amazon.com automating machine learning deployments at scale (ARC340-R1) ( Download)
- Reinforcement Learning : Applications in Deep Racer and AWS Sagemaker ( Download)
- AWS re:Invent 2018: Operationalizing Machine Learning to Deliver Content at Scale (MAE306) ( Download)
- [AWS] Amazon SageMaker 모델 배포 방법 소개 Session 2 /7 ( Download)
