> For the complete documentation index, see [llms.txt](https://gpu-ai.gitbook.io/gpu-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gpu-ai.gitbook.io/gpu-ai/ai-innovator.md).

# AI Innovator

**Description:**\
The AI Innovator package is designed for individual developers, startups, and small teams looking to kickstart their AI projects without the overhead of significant infrastructure investments. It offers a cost-effective entry point into GPU computing, providing essential resources for developing, testing, and deploying AI models.

**Features:**

* Access to up to 4 high-performance GPUs.
* 100 GPU hours per month.
* Shared access to Quantum-Enabled GPU Acceleration (QEGA) technology.
* Basic access to the Decentralized Compute Fabric (DCF).
* Community support and access to GPU AI documentation.

**Benefits:**

* Minimize initial costs while accessing powerful GPU resources.
* Flexible and scalable to grow with your project's needs.
* Ideal for prototyping and early-stage development.

**Pricing:**\
$299 per month