๐Ÿ‘šRoadmap

# Launchpad Phase (v0.1 โ€“ H1 2024)

This initial phase marks the debut of G Grid, encompassing alpha and beta stages. It focuses on establishing the GPU network and testing the complete demand > supply > demand cycle to thoroughly evaluate the system. This period will involve rigorous system testing, onboarding of early users, and collecting feedback for future enhancements. The primary goal during Launchpad Phase is to ensure the platform's stability, reliability, and performance.

# Expansion Era (v1.0 - H2 2024)

In this second phase, the main grid becomes operational. We will release the Command Line Interface (CLI) and Software Development Kit (SDK), enabling seamless connection to the G Grid network. Additionally, we will introduce a Container Node specifically for consumer-grade GPUs. The focus here is on scaling up the network and attracting a wider range of users.

# Integration Epoch (v1.X โ€“ H1 2025)

The Integration Epoch release will concentrate on incorporating major machine learning frameworks. We will unveil the Community Connector Library, along with official connectors for popular platforms like PyTorch, TensorFlow and more. This phase aims to enhance the platform's ease of use and interoperability with existing machine learning tools and libraries.

# Diversification Age (v1.X โ€“ H2 2025)

This stage aims to significantly broaden G Grid's scope by supporting a more diverse range of GPUs, including AMD, Intel, and Apple Silicon variants. Our goal is to position G Grid as the largest global compute grid. Addressing the technical challenges of accommodating various hardware types and use cases will be crucial in this phase.

# Enterprise Horizon (v1.X โ€“ H1 2026)

The Enterprise Horizon release will introduce features tailored for medium-sized and large enterprises, including fiat currency integration, advanced billing systems, and team functionalities. This phase not only focuses on technological advancements but also on business development and community expansion, aiming to attract and support a more diverse user base and a wider array of use cases.

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