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 0 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 4500 GB Block storage+ 1000 GB NFS storage 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)