Memory issue when running ray.init()

I am running ray.init() in company’s machine learning platform. It showed this error:

ValueError: After taking into account object store and redis memory usage, the amount of memory on this node available for tasks and actors (-0.01 GB) is less than -1% of total. You can adjust these settings with ray.init(memory=, object_store_memory=).

Is this because of the low memory? anyone have seen this before?

hmm this looks a bug. mind share what OS and which version of Ray you are using? Feel free to create a github issue for this, which could is a bit more convenient to track bug like this.