> For the complete documentation index, see [llms.txt](https://docs.yottalabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.yottalabs.ai/company/faqs/getting-started.md).

# Getting Started

<details>

<summary>What is Yotta Labs and what problem does it solve?</summary>

Yotta Labs is building the interoperable AI infrastructure layer for a world where compute is fragmented and hardware is increasingly diverse.

As AI demand grows, GPU capacity is spread across different clouds, regions, providers, and data centers—while new accelerators and architectures (NVIDIA, AMD, and more) make the stack even harder to standardize. This fragmentation creates major inefficiencies: underutilized compute, operational complexity, higher costs, and slower iteration cycles for teams shipping AI.

Our mission is to unify this fragmented compute into a single, intelligent system—enabling AI workloads to run efficiently across multi-cloud and multi-silicon environments.

Yotta Labs helps developers and enterprises access, orchestrate, and optimize compute across heterogeneous infrastructure, so they can scale AI faster with better performance and cost efficiency.

</details>

<details>

<summary>How do I sign up or create an account?</summary>

To create an account, click **Launch Console** on the Yotta Labs website. From there, you can sign up using your **email address** or log in with a supported third-party provider.

Currently, Yotta Labs supports third-party login via **Google** and **GitHub**.

</details>

<details>

<summary>What can I build or run on Yotta Labs?</summary>

Yotta Labs supports a wide range of AI workloads across **Pods (containers)** and **GPU Virtual Machines**, including:

* **LLM inference** (production APIs, batch inference, evaluation)
* **Fine-tuning & training** (from small experiments to multi-GPU workloads)
* **Computer vision pipelines** (image/video processing, detection, segmentation)
* **Generative AI workflows** (ComfyUI, Stable Diffusion, image generation)
* **Data preprocessing & ETL** (feature extraction, embedding generation)
* **Research and experimentation** (reproducible environments for academia and labs)

Whether you prefer a container-native workflow (Pods) or full OS-level control (VMs), Yotta makes it easy to launch GPU compute and scale as your needs grow.

</details>

<details>

<summary>Can I change my email or login method later?</summary>

At the moment, your login method is tied to the authentication option you used when creating your account (Email, Google, or GitHub).

If you need to change your email address or switch login methods, please contact support and we’ll help you update your account access.

</details>

<details>

<summary>I didn't receive a verification email — what should I do?</summary>

If you didn’t receive your verification email, please try the following:

1. **Check your spam/junk folder**
2. Make sure you entered the **correct email address**
3. Wait a few minutes and try again (email delivery may be delayed)
4. If you’re using a corporate email, check whether your email security filters are blocking it

If you still don’t see it, please contact support and we’ll help you verify your account manually.

</details>


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