Platform services
FlexAI Platform Services provide the essential building blocks for managing data, code, secrets, and storage across your AI workflows. Each service is designed to be secure, flexible, and deeply integrated with the FlexAI ecosystem.
Key Platform Services
Section titled “Key Platform Services”Manage, version, and deploy model checkpoints from Training and Fine-tuning jobs
Upload, manage, and organize datasets for your AI workloads
Securely store and manage API keys, credentials, and secrets
Connect to cloud storage providers for seamless data access and transfer
Connect and manage GitHub repositories for training and inference
Monitor, log, and analyze your FlexAI workloads and infrastructure
Capture, store, version, and deploy model checkpoints. Resume training, export checkpoints, and deploy models with confidence.
Upload datasets from local or cloud sources, organize data flexibly, and manage multiple datasets for complex training scenarios.
Secure, encrypted storage for API keys, tokens, and configuration files. Reference secrets in workloads without exposing sensitive data.
Integrate with AWS S3, Google Cloud Storage, and more. Move data directly between providers and FlexAI, and manage credentials securely.
Connect public or private GitHub repositories, reference specific commits or branches, and streamline your development-to-deployment workflow.
Monitor infrastructure, visualize metrics, and access logs for all your FlexAI workloads.