AI Infrastructure refers to the underlying hardware, software, and cloud services that are essential for developing, training, deploying, and managing AI models and applications. It includes high-performance computing resources (like GPUs and TPUs), data storage solutions, networking capabilities, specialized software frameworks (e.g., TensorFlow, PyTorch), and platforms for model serving, monitoring, and management. It is commonly used by organizations building AI-powered products and services, enabling them to scale their AI efforts efficiently.
This tech insight summary was produced by Sumble. We provide rich account intelligence data.
On our web app, we make a lot of our data available for browsing at no cost.
We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.