High-performance virtualized workstation with GPU passthrough for AI model training
Engineered a sophisticated virtualization setup using QEMU/KVM with PCI passthrough, enabling multiple VMs to access dedicated GPU resources for AI workloads. Implemented advanced IOMMU configurations, custom VFIO bindings, and optimized interrupt handling. The system supports concurrent training of multiple deep learning models while maintaining near-native performance. Includes automated deployment scripts, resource monitoring, and dynamic GPU allocation based on workload priority.