[R] Nvidia RTX 4090 ML benchmarks. Under QEMU/KVM. Image + Transformers. FP16/FP32.

**Motivation**:

I am running a proxmox instance for tinkering with devops stuff, k8s, ci and so on. And wanted to also have the ability to run ML workloads specifically any kind of ClosedAI open-sourced alternatives. Like Guanaco, WizardLM, Starcoder, Codegen. As well as having some kind of pre-prod environment for ML deployments.

**Environment**:

All the tests were run within a virtual machine(qemu) which is run using proxmox 7.4-3.

```
CPU: Intel Xeon 2696v4 2.2Ghz
Storage: Samsung SSD 870 EVO
OS:Linux …

benchmarks devops fp16 image instance k8s kind kvm machinelearning motivation nvidia nvidia rtx prod qemu rtx running starcoder transformers workloads