A data science team at a retail company has trained several models for production: a recommendation model in PyTorch, a demand-forecasting model in TensorFlow, and a fraud-detection model exported to ONNX. The operations team wants to serve all three models from a single, standardized serving solution that can handle concurrent requests, support multiple frameworks, and run on their NVIDIA GPU servers. Which component of the NVIDIA software stack should they deploy?