Medjed AI is a next-generation GPU cloud platform designed to provide accessible, sustainable, and independent computing resources. The motivation behind Medjed AI comes from three main factors:
1. Limited Options for KVM-Based GPU Cloud
Most existing GPU cloud services are optimized for large enterprises and rely heavily on container-based solutions. However, container services cannot meet all AI workloads, especially for developers who require full control over the system environment. The availability of KVM-based GPU cloud platforms serving the broader developer community remains limited.
2. Reusing Retired GPU Servers for ESG Goals
A large number of previous-generation GPU servers are being decommissioned each year. These GPUs are still capable of supporting many AI training and inference tasks. Medjed AI adopts a circular reuse model, extending the lifecycle of GPUs and reducing electronic waste. This approach aligns with ESG principles, creating a more green AI cloud while lowering costs for users.
3. Closer to Developers and Platform Independence
Medjed AI aims to reduce the gap between cloud providers and developers. By focusing on affordability, transparency, and independence, the platform avoids vendor lock-in and provides developers with a more user-friendly and reliable GPU cloud.
Top comments (0)