> ## Documentation Index
> Fetch the complete documentation index at: https://docs.flex.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Getting Started

> Get started with FlexAI platform

<Note>
  You can sign up for FlexAI by visiting the [FlexAI Web Console's Sign Up page](https://auth.flex.ai/registration?r=d). Then follow the [Signing Up instructions](/signup/) to create your account.
</Note>

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**](/console/): A web-based interface for managing your AI workloads ([https://console.flex.ai/](https://console.flex.ai/)).
* [**FlexAI CLI**](/cli/install/): The command line interface for interacting with the FlexAI platform.

<Tip title="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.
</Tip>

## FlexAI Core Services

FlexAI provides three Core Services:

1. [**Inference**](/core-services/inference/): Deploy your models for real-time inference and integrate them into your applications.
2. [**Fine-Tuning**](/core-services/fine-tuning/): Easily fine-tune pre-trained models on your specific datasets to adapt them to your needs.
3. [**Training**](/core-services/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**](/platform-services/checkpoint-manager/): Manage your model checkpoints, including uploading, downloading, and organizing them.
2. [**Code Registry Manager**](/platform-services/code-registry-manager/): Manage your code repositories, allowing you to version control and share your training and fine-tuning scripts.
3. [**Dataset Manager**](/platform-services/dataset-manager/): Manage your datasets, including uploading, organizing, and accessing them for your training and fine-tuning jobs.
4. [**Secret Manager**](/platform-services/secret-manager/): Securely store and manage sensitive information such as API keys, passwords, and tokens.
5. [**Remote Storage Connection Manager**](/platform-services/remote-storage-connections-manager/): Connect and manage your remote storage solutions, such as AWS S3, Google Cloud Storage, and Azure Blob Storage.
6. [**Observability Services**](/platform-services/observability/): Monitor and analyze the performance of your AI workloads with built-in logging and metrics.