Future Cloud for AI (macro trend)

AI Platform (AI Cloud)

Unified Data and AI. Bring data loading, preprocessing, feature store together to training and serving, same platform
Anyscale (0->Max) & Anywhere (public cloud, private cloud, edge).
AutoML. end-2-end process automation, hyper-parameter tuning and input space auto search
ModelOps. Extend MLOps, focus on enterprise model operationalization
Responsible and Trusted AI. From data, algorithm to prediction results, all should be explainable
Highlighted Companies
- CoreWave, a GPU-first cloud for compute-intensive workloads
- Run:AI, a platform for AI virtualization and orchestration, with advanced GPU pool management and Kubernetes based scheduling.
- CNVRG, a full stack machine learning operation system, all-in-one ML platform, optimized for the on premise enterprise.
- Anyscale, a universal framework for distributed computing, Ray applications, eliminates infrastructure and cluster management.
- Omniverse, a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration.
- Modzy, a secure ModelOps and MLOps platform for businesses to deploy, manage, and get value from AI at scale.
- DataRobot, AI cloud, a unified platform for all users, all data types and all environments, convert insights to decision