AI Infrastructure & Cloud Platform - The industry faces the challenge of rapid movement in AI infrastructure development [1] - The company's mission is to provide scalable, high-performance, and highly reliable AI cloud infrastructure [1] - The company builds its AI platform from the ground up, focusing on core AI scenarios: training, inference, and data processing [2] Inference & Business Needs - Inference is favored due to the real business needs behind it [2] - The power of AI lies in serving real customer use cases through inference [4] - The company aims to make inference efficient and economically pragmatic for customers to facilitate their growth [4] Model Scaling & Performance - Model sizes are growing, requiring more memory and performance, including multi-node utilization and networking [3] - Nvidia continuously pushes boundaries, providing new and more performant hardware [3] - The company provides customers with flexibility through a managed Kubernetes with autoscaling features [3] - Customers can scale up or down based on demand [4]
Scaling AI Inference Performance in the Cloud with Nebius
NVIDIA·2025-11-10 14:01