How to get easy and affordable access to GPUs for AI/ML workloads
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Google Cloud Platform1.18 млн
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30 дней – 1 2320:54Опубликовано 1 июля 2024, 15:41
The growth in AI/ML training, fine tuning, and inference workloads has created exponential demand for GPU capacity, making accelerators a scarce resource.
Join this session to learn:
- How Dynamic Workload Scheduler (DWS) works and how you can use it today
- About Compute Engine consumption models, including on-demand, spot, and future reservations
Speakers: Ari Liberman, Laura Ionita
Watch more:
All sessions from Google Cloud Next → goo.gle/next24
#GoogleCloudNext
ARC222
Event: Google Cloud Next 2024
Join this session to learn:
- How Dynamic Workload Scheduler (DWS) works and how you can use it today
- About Compute Engine consumption models, including on-demand, spot, and future reservations
Speakers: Ari Liberman, Laura Ionita
Watch more:
All sessions from Google Cloud Next → goo.gle/next24
#GoogleCloudNext
ARC222
Event: Google Cloud Next 2024
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