The CLEVER Project is advancing edge-AI capabilities with GPU and FPGA virtualization, developed by AAU. This framework unlocks high-performance computing for AI and ML applications while reducing costs through resource sharing.
🔑 Key Features:
- GPU Virtualization: Enabling lightweight devices to access the power of high-end GPUs remotely via a front-end/back-end split driver architecture.
- FPGA Virtualization: Expanding the framework to virtualize FPGAs, opening new possibilities for acceleration in AI and ML tasks.
- Cost Efficiency: Sharing resources reduces the need for expensive hardware deployments.
⚙️ Development Focus:
- Upgrading CUDA Support: Enhancing compatibility with the latest CUDA Toolkit (v12.1) for up-to-date functionality.
- Functionality Expansion: Adding virtualized functions tailored to the requirements of CLEVER’s AI/ML use cases.
- FPGA Support: Extending the framework to handle FPGA virtualization for optimized AI operations.
🌟 Why It Matters:
This framework revolutionizes AI computation by enabling resource-efficient virtualization at the edge or cloud, making advanced hardware accessible to diverse applications while minimizing deployment costs.
💡 With GPU and FPGA virtualization, the CLEVER Project paves the way for democratizing high-performance AI solutions!
📌 Stay connected with #CLEVERProject for more updates!