Getting Started

Don't have an account yet?

You can sign up for FlexAI by visiting the FlexAI Web Console’s Sign Up page 🔗. Then follow the Signing Up instructions to create your account.

FlexAI empowers AI builders everywhere to develop groundbreaking AI solutions with effortless access to universal AI compute.

FlexAI provides a unified platform that handles the complexities of allocating and setting up the infrastructure needed to run your AI workloads: From managing hardware, software, networking, and storage layers, FlexAI orchestrates the entirety of the process of securely and efficiently running AI workloads.

How it works

The FlexAI platform offers a seamless experience for AI developers to run their workloads using the client of their choice:

• FlexAI Web Console: A web-based interface for managing your AI workloads (https://console.flex.ai/ 🔗).
• FlexAI CLI: The command line interface for interacting with the FlexAI platform.

Feature Parity

Both the FlexAI CLI and the FlexAI Web Console offer similar features, however, the CLI exposes a more advanced set of functionalities at the moment. The Web Console is continuously being improved to match the CLI’s capabilities, so you can expect more features to be continuously added.

FlexAI Core Services

FlexAI provides three Core Services:

1. Inference: Deploy your models for real-time inference and integrate them into your applications.
2. Fine-Tuning: Easily fine-tune pre-trained models on your specific datasets to adapt them to your needs.
3. Training: Train your models on FlexAI’s powerful infrastructure with just a few clicks or commands.

FlexAI Platform Services

The FlexAI Core Services are supported by a set of Platform Services that help you efficiently manage your AI workloads and resources:

1. Checkpoint Manager: Manage your model checkpoints, including uploading, downloading, and organizing them.
2. Code Registry Manager: Manage your code repositories, allowing you to version control and share your training and fine-tuning scripts.
3. Dataset Manager: Manage your datasets, including uploading, organizing, and accessing them for your training and fine-tuning jobs.
4. Secret Manager: Securely store and manage sensitive information such as API keys, passwords, and tokens.
5. Remote Storage Connection Manager: Connect and manage your remote storage solutions, such as AWS S3, Google Cloud Storage, and Azure Blob Storage.
6. Observability Services: Monitor and analyze the performance of your AI workloads with built-in logging and metrics.