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 MEM and CPU mins are reached.

Component	Minimum	Recommended
Node Count	1	1 per workspace + additional nodes depending on expected user workloads
CPU	16 Cores Per Workspace+ additional Cores depending on expected user workloads	32 Cores Per workspace + addtitional Cores depending on expected user workloads
Memory	32 GB + addtitional memory depending on the expected workloads	64 GB Per Workspace + addtitional memory depending on the expected workloads
Storage	600 GB Block storage + 1000 GB NFS storage (Block if internal and NFS if external)	4500 GB Block storage+ 1000 GB NFS storage if external
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)