The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
This chart will deploy the following:
- 1 x Dask scheduler with port 8786 (scheduler) and 80 (Web UI) exposed on an external LoadBalancer (default)
- 3 x Dask CUDA workers with RAPIDS environment and a GPU that connect to the scheduler
- 1 x Jupyter notebook (optional) with port 80 exposed on an external LoadBalancer (default)
- All using Kubernetes Deployments
$ git clone https://github.com/rapidsai/helm-chart helm-chart
$ cd helm-chart
$ helm dep update rapidsai
$ helm install --name myname --namespace mynamespace rapidsai$ make test
helm lint rapidsai
==> Linting rapidsai
Lint OK
1 chart(s) linted, no failuresThe following table lists the configurable parameters of the Rapidsai chart and their default values.
| Parameter | Description | Default |
|---|---|---|
dask.nameOverride |
"rapidsai" |
|
dask.fullnameOverride |
"rapidsai" |
|
dask.scheduler.name |
"scheduler" |
|
dask.scheduler.image.repository |
"rapidsai/rapidsai" |
|
dask.scheduler.image.tag |
"cuda10.0-runtime-ubuntu16.04" |
|
dask.scheduler.image.pullPolicy |
"IfNotPresent" |
|
dask.scheduler.image.pullSecrets |
null |
|
dask.scheduler.replicas |
1 |
|
dask.scheduler.serviceType |
"LoadBalancer" |
|
dask.scheduler.servicePort |
8786 |
|
dask.scheduler.resources |
{} |
|
dask.scheduler.tolerations |
[{"key": "nvidia.com/gpu", "operator": "Equal", "value": "present", "effect": "NoSchedule"}] |
|
dask.scheduler.nodeSelector |
{} |
|
dask.scheduler.affinity |
{} |
|
dask.webUI.name |
"webui" |
|
dask.webUI.servicePort |
8787 |
|
dask.webUI.ingress.enabled |
false |
|
dask.webUI.ingress.tls |
false |
|
dask.webUI.ingress.hostname |
"dask-ui.rapidsai.example.com" |
|
dask.webUI.ingress.annotations |
null |
|
dask.worker.name |
"worker" |
|
dask.worker.image.repository |
"rapidsai/rapidsai" |
|
dask.worker.image.tag |
"cuda10.0-runtime-ubuntu16.04" |
|
dask.worker.image.pullPolicy |
"IfNotPresent" |
|
dask.worker.image.dask_worker |
"dask-cuda-worker" |
|
dask.worker.image.pullSecrets |
null |
|
dask.worker.replicas |
3 |
|
dask.worker.env |
null |
|
dask.worker.resources.limits.cpu |
1 |
|
dask.worker.resources.limits.memory |
"3G" |
|
dask.worker.resources.limits.nvidia.com/gpu |
1 |
|
dask.worker.resources.requests.cpu |
1 |
|
dask.worker.resources.requests.memory |
"3G" |
|
dask.worker.resources.requests.nvidia.com/gpu |
1 |
|
dask.worker.tolerations |
[{"key": "nvidia.com/gpu", "operator": "Equal", "value": "present", "effect": "NoSchedule"}] |
|
dask.worker.nodeSelector |
{} |
|
dask.worker.affinity |
{} |
|
dask.jupyter.name |
"jupyter" |
|
dask.jupyter.enabled |
true |
|
dask.jupyter.image.repository |
"rapidsai/rapidsai" |
|
dask.jupyter.image.tag |
"cuda10.0-runtime-ubuntu16.04" |
|
dask.jupyter.image.pullPolicy |
"IfNotPresent" |
|
dask.jupyter.image.pullSecrets |
null |
|
dask.jupyter.replicas |
1 |
|
dask.jupyter.serviceType |
"LoadBalancer" |
|
dask.jupyter.servicePort |
80 |
|
dask.jupyter.password |
"sha1:56152965e045:3cd9a2065e78b4a4e46c2d6f35ddd0160fe5b94d" |
|
dask.jupyter.args |
["bash", "/rapids/notebooks/utils/start-jupyter.sh"] |
|
dask.jupyter.extraConfig |
"c.ServerProxy.host_whitelist = [\"localhost\", \"127.0.0.1\", \"rapidsai-scheduler\"]" |
|
dask.jupyter.env |
[{"name": "DASK_DISTRIBUTED__DASHBOARD__LINK", "value": "/proxy/rapidsai-scheduler:8787/status"}] |
|
dask.jupyter.resources.limits.cpu |
2 |
|
dask.jupyter.resources.limits.memory |
"6G" |
|
dask.jupyter.resources.limits.nvidia.com/gpu |
1 |
|
dask.jupyter.resources.requests.cpu |
2 |
|
dask.jupyter.resources.requests.memory |
"6G" |
|
dask.jupyter.resources.requests.nvidia.com/gpu |
1 |
|
dask.jupyter.tolerations |
[{"key": "nvidia.com/gpu", "operator": "Equal", "value": "present", "effect": "NoSchedule"}] |
|
dask.jupyter.nodeSelector |
{} |
|
dask.jupyter.affinity |
{} |
|
dask.jupyter.ingress.enabled |
false |
|
dask.jupyter.ingress.tls |
false |
|
dask.jupyter.ingress.hostname |
"jupyter.rapidsai.example.com" |
|
dask.jupyter.ingress.annotations |
null |