GPU Virtualization and Containerization

The Power of Virtualized GPUs

ShardGPU’s virtualization technology allows a single GPU to be split into multiple secure environments, making GPU usage more efficient and scalable.

How It Works

• GPU Partitioning: Using Docker & Kubernetes, GPUs are divided into isolated workloads.

• Multi-Tasking Efficiency: Multiple users can run AI models, render graphics, or compute simulations at the same time without interference.

• Smart Resource Management: AI algorithms predict GPU demand and adjust capacity on-the-fly.

Why It Matters

• Enables more users to rent GPUs without conflicts.

• Maximizes earnings for GPU owners by handling multiple tasks at once.

• AI companies get seamless compute scaling, even during peak demand.

ShardGPU transforms individual GPUs into highly flexible, multi-purpose compute units, revolutionizing decentralized AI model training and rendering.