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Epic Name:
Comparing GPU vs vGPU Performance in RHEL/Openshift
Blocked:
False
Blocked Reason:
None
Ready:
False
Acceptance Criteria:

Hide
- Document for performance report covering all scenarios
- Potential presentation on results found
- Automation code (if needed) cleaned, documented, and checked into repo

Show
- Document for performance report covering all scenarios - Potential presentation on results found - Automation code (if needed) cleaned, documented, and checked into repo
Color Status:
Not Selected
Epic Status:
Done
Flagged:

Impediment
Hierarchy Progress Bar:

0% To Do, 0% In Progress, 100% Done
Target Version:

openshift-4.12

Sprint:
PSAP Sprint 223, PSAP Sprint 221, PSAP Sprint 222, PSAP Sprint 223, PSAP Sprint 224, PSAP Sprint 225

Epic Goal

To use ML benchmarks to assess the performance of vGPUs in VMs on RHEL, as well as in openshift virtualization, in comparison to direct GPU use.

Why is this important?

Currently unknown/undocumented information, potentially desirable to customer(s)

Running mlperf SSD + SSDv2 training benchmarks and nvidiadl BERT benchmark on baremetal RHEL8, single GPU
Starting a single VM on RHEL8 w/ a single vGPU (full capacity), running same benchmarks
Running multiple workloads on baremetal w/ single GPU, running same benchmarks
Starting multiple VMs (same as step 3 amount of workloads) on RHEL8, each with a vGPU, running same benchmarks
Adding SNO to baremetal, running benchmarks in openshift w/ single GPU
Adding SNO to the single/multi VM environments, running same benchmarks in openshift
Using openshift virtualization to test VM/vGPU performance within openshift using SNO on baremetal