can 3 different serverless workers running from same network volume?
Hi @digigoblin
I have checked your answer about symbol linking network volume dir to serverless dir and run worker from the network volume as it did as if it was a separate pod instance.
https://github.com/ashleykleynhans/runpod-worker-comfyui/blob/main/start.sh#L5-L7
I fully understand it and thank you for the instruction. Nevertheless, if I am running 3 serverless workers, all of them will launch comfyui main script from the same network volume folder and read and write the ./input and ./output directory or the big model files simultaneously from the same volume. is this a problem in terms of the performance, or do you have a best practice for such a typical scenario where multiple workers sharing same source directory because we do not want to copy big models and working directory for each of these workers.
thank you so much and looking forward to your kindly response.
I have checked your answer about symbol linking network volume dir to serverless dir and run worker from the network volume as it did as if it was a separate pod instance.
https://github.com/ashleykleynhans/runpod-worker-comfyui/blob/main/start.sh#L5-L7
I fully understand it and thank you for the instruction. Nevertheless, if I am running 3 serverless workers, all of them will launch comfyui main script from the same network volume folder and read and write the ./input and ./output directory or the big model files simultaneously from the same volume. is this a problem in terms of the performance, or do you have a best practice for such a typical scenario where multiple workers sharing same source directory because we do not want to copy big models and working directory for each of these workers.
thank you so much and looking forward to your kindly response.
GitHub
RunPod Serverless Worker for the ComfyUI Stable Diffusion API - ashleykleynhans/runpod-worker-comfyui
