Announcing General Availability Of Ray On Vertex AI
Google News, Wednesday, May 15th, 2024
Developers and engineers face several major challenges when scaling AI/ML workloads. One challenge is getting access to the AI infrastructure they need.
AI/ML workloads require a significant amount of computational resources, such as CPUs and GPUs. Developers need to have sufficient resources to run their workloads. Another challenge is handling the diverse patterns and programming interfaces required for effective AI/ML workload scaling. Developers may need to adapt their code to run efficiently on the specific infrastructure they have available. This can be a time-consuming and complex task.