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

# Roadmap

**Phase 1: AI Parallel Code Writer**

Parallel AI will start by launching its AI-powered code writer that can automatically convert sequential code into highly efficient parallelized versions. This will empower developers to leverage the full potential of Parallel AI's technology without requiring deep expertise in parallel programming.

**Phase 2: GPU Network Host for Rent**

Parallel AI will establish its aggregated decentralized GPU network through partnerships, so that code can be automatically executed via the most task-appropriate and cost-efficient hardware.

**Phase 3: Bespoke Virtual Processing on GPU Network**

In the final phase, Parallel AI will offer a comprehensive virtual processing service, allowing users to seamlessly tap into the distributed GPU network and execute their parallelized workloads. This will provide a turnkey solution for organizations seeking to harness the power of Parallel AI without the need for complex infrastructure management.


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