ksatzke
ksatzke
This PR adds the capability to execute Python KNIX functions in sandboxes using NVIDIA GPU resources for both ansible and helm deployments of KNIX. GPU nodes are detected and configured...
Currently, function dependencies which are configured under "Requirements" in the GUI are downloaded from scratch whenever this function or the corresponding workflow is deployed. However, depending on the involved dependency...
Currently, for set-ups of KNIX on localhost, or a single remote host, or a cluster of hosts, Ubuntu 18.04 and Debian 9 are the only supported target OS. I proose...
KNIX misses the capability to query the number of GPU devices and the GPU memory of devices in a particular deployment. However, this functionality is required when configuring a KNIX...
Currently, the resource limits for KNIX components, when using helm charts for deployments, are fixed at deployment time, like so: ```yaml resources: limits: cpu: 1 memory: 2Gi requests: cpu: 1...
Add guides and scripts on how to upgrade and completely remove an existing KNIX installation, extending the description given in deploy/ansible/README.md