Networking Support For AI Workloads
Google News, Friday, February 14th, 2025
At Google Cloud, we strive to make it easy to deploy AI models onto our infrastructure. In this blog we explore how the Cross-Cloud Network solution supports your AI workloads.
Google Cloud provides both managed (Vertex AI) and do-it-yourself (DIY) approaches for running AI workloads:
Vertex AI: A fully managed machine learning platform. Vertex AI offers both pre-trained Google models and access to third-party models through Model Garden. As a managed service, Vertex AI handles infrastructure management, allowing you to concentrate on training, tuning, and inferencing your AI models.
Custom infrastructure deployments: These deployments utilize various compute, storage and networking options based on the type of workload the user is running. AI Hypercomputer is one way to deploy both HPC workloads that may not require GPU and TPUs, and also AI workloads running TPUs or GPUs.