Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

our flyte-sandbox container often crashes when using multiple heavy containers. The hardware for the sandbox is a fairly powerful node with enough RAM and CPU resources. Any pointers on debuging this will be really helpful!

Did you change the docker daemon to have more cpu / mem

<@U04KDJU8R2Q> currently the minimum requirements for the Docker daemon are 4CPUs and 3GB RAM

<https://docs.flyte.org/projects/cookbook/en/latest/index.html#running-workflows-in-a-flyte-cluster>

Please let us know if this answers your question

the docker daemon resources is a mac thing because of the virtualization i believe. is this running on linux?

ah this might be because of the resources:
```    resources:
      limits:
        memory: 1Gi
      requests:
        cpu: "1"
        memory: 1Gi```

<@U04KDJU8R2Q> this will need a fix in the chart and sandbox configuration. i think we should just drop the resource limits entirely. in the meantime, you can try manually editing the deployment to see if that helps you.

```kubectl edit deploy flyte-sandbox -n flyte```

its this config. i need to drop this from flyte-sandbox basically:
<https://github.com/flyteorg/flyte/blob/7f66e475b522745f3721170906db32f61d9af357/charts/flyte-binary/values.yaml#L156>

I am running on a Linux server with 88 cores and ~800 GB RAM. I have not yet played around with resource limits. <@U017K8AJBAN> thanks for your help. I will try this out and let you know if it helps!

we can push out a fix for this in the next release

<@U04KDJU8R2Q>: 1.4.0 release should fix this.