I'm wondering if the startup time for autoscaling can be improved by using a starting volume that already has the weights for the model downloaded. Currently, the startup time is slow because the weights need to be downloaded. Is there a way to speed up this process?
Caleb Welton
Asked on Feb 02, 2024
Yes, there are a couple of options to improve the startup time for autoscaling by pre-downloading the weights:
Using a Docker image: You can put the weights into a Docker image and specify resources.image_id for each replica. This way, the weights will already be available in the Docker image, reducing the download time.
Using a machine image: Another option is to create a machine image that contains the weights and specify resources.image_id to use that image for starting each replica. This can be faster than using a Docker image since the weights are already included in the machine image.
Both options have their pros and cons. Using a Docker image allows for more flexibility and can be used across different clouds, but there is still a download time from the Docker registry. On the other hand, using a machine image is faster since the weights are already included, but it is limited to a single cloud/region.
