Additional resource requirements for Cloudera Machine Learning

Standard resource mode requirements for standalone Cloudera Machine Learning. Node count should not be a limiting factor assuming the other memory and CPU minimums are reached.

Component	Minimum	Recommended
Node Count	1	1 per workspace + additional nodes depending on expected user workloads
CPU	32 Cores Per Workspace+ additional Cores depending on expected user workloads	32 Cores Per workspace + additional Cores depending on expected user workloads
Memory	128 GB + additional memory depending on the expected workloads	256 GB Per Workspace + additional memory depending on the expected workloads
Storage	Set up ECS/Longhorn with SSDs with a minimum of 600 GB and recommended cumulative 4500 GB of Block storage for project use. For Production environments, it is strongly recommended to setup an External NFS environment with at least 1000 GB of NFS storage with additional Block storage based on project file sizing.
Network Bandwidth	1GB/s to all nodes and base cluster	1GB/s to all nodes and base cluster

Additional Resources for User Workloads:

Component	Minimum	Recommended
CPU	1 Core per concurrent workload	2–16 cores per concurrent workload (dependent on use cases)
Memory	2 GB per concurrent workload	4–64 GB per concurrent workload (dependent on use cases)