Before the release call you can save about 45 minutes of time by performing following steps:
- Download SAFR Platform CUDA 11 Version from https://safr.real.com/download on all three VM instances
- Run the installer on all three VM instances (DO NOT Sign in to ANY of them)
Release Prep Checklist
[ ] Machines or VMs are Provisioned with required operating system
[ ] Nvidia GPUs are installed (if using VMs Nvidia VGPU licenses installed)
[ ] nvidia-smi utility reporting GPUs are visible to OS (validate decode is working and putting load on GPUs)
[ ] (Optional) cv-instam.real.com:443 and safr.real.com443 is whitelisted (this will make it much easier to install, license and upgrade server)
[ ] SAFR Ports on internal network are opened
[ ] Windows machine available on the network to install and test SAFR Desktop
[ ] At least one IP camera is available and accessible on the network for testing
Ideally we have the following expertise available on the release call:
- Administrative control over Servers
- Expertise in the Operating system in use
- If VM, Expertise in the VM technology
- Expertise in Nvidia drivers for the OS in question (especially for Linux)
- If VM, expertise in Nvidia Virtual GPU Software, drivers and licensing
- Network engineer who can investigate or make change to networks/switches
- If Load balancing, someone with access and expertise in load balancer
Resources: