Multi-GPU solutions involve using multiple graphics processing units (GPUs) in a single computer system to enhance performance, particularly for demanding tasks like gaming, 3D rendering, and machine learning. By distributing workloads across several GPUs, these systems can process data more efficiently, leading to faster rendering times and improved frame rates. These solutions can be implemented through technologies like NVIDIA's SLI or AMD's CrossFire, which allow multiple GPUs to work together seamlessly. However, not all software supports multi-GPU configurations, so users should ensure compatibility to fully benefit from the increased processing power.