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Cloud Run GPUs, now GA, makes running AI workloads easier for everyone
- Google Cloud's serverless runtime, Cloud Run, now offers NVIDIA GPU support, making it easier to run AI workloads for developers.
- Key benefits include pay-per-second billing, scaling to zero to eliminate idle costs, rapid startup and scaling, and full streaming support for interactive applications.
- Cloud Run with GPU support is now available to everyone for NVIDIA L4 GPUs, with no quota request required, making GPU acceleration more accessible.
- The service is now covered by Cloud Run's SLA, providing reliability and uptime assurances, and is available in multiple regions to support global applications.
- Cloud Run simplifies multi-regional deployment, allowing services to be deployed across regions with a single command for lower latency and higher availability.
- A live demo showcased Cloud Run scaling from 0 to 100 GPUs in four minutes, highlighting its scalability.
- Cloud Run with GPUs enables new use cases like model fine-tuning, batch AI inferencing, and batch media processing, enhancing AI capabilities.
- Early adopters of Cloud Run GPUs praise its scalability, cost-efficiency, and performance, showcasing its value in various applications such as image processing.
- Developers are encouraged to explore Cloud Run with GPU documentation, quickstarts, and best practices to leverage GPU acceleration for their applications.
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