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Announcing Pause/Resume and NVIDIA RTX PRO 6000 Blackwell GPU support in Dataflow
Google Cloud announced the general availability of Pause/Resume for Dataflow batch jobs and support for G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell GPUs.
Why it matters
These updates reduce wasted compute costs by allowing failed jobs to resume instead of restart and enable the processing of larger AI models.
The big picture
This update expands Google Cloud's AI infrastructure and strategy, following recent updates shared by Thomas Kurian at the Goldman Sachs Tech Conference.
The details
- The NVIDIA RTX PRO 6000 GPU offers higher performance than the NVIDIA L4 GPU. - Users can utilize native Dataflow ML capabilities such as RunInference and GPU-enabled autoscaling. - Pause/Resume allows for the dynamic re-allocation of GPUs and TPUs to higher priority workloads.
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In this article
Key connections
Google Cloud is related to Dataflow
Dataflow is a critical component of Google Cloud’s AI stack
NVIDIA owns NVIDIA L4 GPU
announcing support for G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs
G4 VMs is built with NVIDIA RTX PRO 6000 Blackwell Server Edition
G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs
NVIDIA RTX PRO 6000 Blackwell Server Edition competes with NVIDIA L4 GPU
The NVIDIA RTX PRO 6000 Blackwell GPU delivers significant performance gains compared to the NVIDIA L4 GPU
Dataflow uses AI Inference
perform AI inference right within your Dataflow job
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