The demand for high-performance AI inference and training continues to skyrocket, placing immense pressure on cloud and GPU infrastructure. AI models are getting larger, and workloads are more complex, making efficient resource utilization a critical factor in cost and performance optimization. Enter Avesha Smart Scaler — a reinforcement learning-based scaling solution that dynamically optimizes GPU/CPU resource allocation for AI workloads, delivering unprecedented throughput gains and reduced inference latency.