The challenges associated with loading petascale datasets, crucial for training models in both vision and language processing, pose significant hurdles in the field of deep learning. These datasets, often hosted on various cloud backends, add complexity to the training process. Existing cloud storage solutions are increasingly seen as too expensive and/or slow to handle petascale training.| AIStore
Burstable instances are able to sustain workloads running at a fraction of CPUs most of the time, and can burst up to the full CPUs for a limited amount of time.| docs.oracle.com
Extended memory virtual machine (VM) instances are VM instances that provide more memory and cores than available with standard shapes.| docs.oracle.com
A shape is a template that determines the number of CPUs, amount of memory, and other resources allocated to a newly created instance. Learn about the predefined and customizable shapes for bare metal machines, VMs, and dedicated VM hosts.| docs.oracle.com