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This talk presents a data platform architecture designed to reduce I/O bottlenecks and keep GPUs supplied during model training in the cloud. It also covers implementing the architecture in Kubernetes for PyTorch workloads.
Syllabus
How to Eliminate the I/O Bottleneck and Continuously Feed the GPU While Training in the... - Lu Qiu
Taught by
Linux Foundation