New Dataflow features to enable large scale AI workloads
Overview
As enterprises scale their AI and agentic workflows, they require serverless platforms that make data preparation for model training, evaluation, and inference effortless and efficient. Dataflow is a critical component of Google Cloud’s AI stack. It enables our customers to create batch and streaming pipelines that support a variety of analytics and AI use cases.
Today, we’re delivering significant enhancements to Dataflow that directly address your top challenges: maximizing compute efficiency for long-running batch jobs and delivering extra inference power for your most demanding AI workloads. We’re thrilled to announce the general availability of Pause/Resume for Dataflow batch jobs as well as support for G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. With these features, you can accelerate your AI development lifecycle and optimize your costs.
Recover wasted compute and increase developer productivity with Pause/Resume for Dataflow batch jobs
Dataflow customers frequently run large batch...
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