GPU Sharing
GPU Sharing is an innovative platform for sharing computational resources, focused on deploying a GPU Lake infrastructure to facilitate access to GPU resources for AI model training and inference. The platform enables users to leverage GPU computing power for Artificial Intelligence workloads and data analytics without the need to invest in expensive hardware.
By creating a shared pool of GPU resources, the platform significantly reduces infrastructure costs while maximizing resource utilization. This service is ideal for startups, researchers, and companies that require high-performance computing capabilities. With its scalable architecture, GPU Sharing accelerates AI projects, supports large-scale deployments, and drives innovation across industries.
Founding Story
Given the growing infrastructure demands of the national AI ecosystem and the limited availability of GPU cards in the country, this platform was developed to enhance the profitability and efficiency of GPU-based services for AI infrastructure providers. Another major challenge was the shortage of specialized AI engineering expertise and the difficulty of scaling AI systems while managing inference-related GPU costs.
As a result, this platform was designed with the vision of maximizing the utilization of all available GPU resources nationwide and establishing a national GPU Lake infrastructure.
Target Industries
AI service providers
Industries and mining companies utilizing AI services
- Service Delivery Model: On-Prem Deployment
- Export-Oriented Product Vision: No
- Smart Money Compatibility: Yes
- Activity Launch: 2021
- Hoomas Investment Date: 2024
Progress & Roadmap
- Deployment of the platform within two GPU infrastructure service providers
- Enabling integration with traditional enterprise systems to enrich software platforms with scalable AI capabilities
- Adding Edge AI functionality to support distributed AI applications