Quotas and limits
This reference describes usage quota and limits that apply to the sandbox environment.
The Instruqt platform supports virtual machines and containers as sandbox hosts:
- For containers, you can allocate up to 8 GB (8192 MB) of memory per sandbox container.
The following limitations apply to GCP projects you create for learners as part of the sandbox environment.
- Services: You can enable all Google Cloud APIs for learners, except serviceusage.googleapis.com, as this API allows the learner to enable additional services without intervention.
- CPU quota: Every project has a quota of 16 vCPUs per play, and this limitation does not apply to the sandbox hosts.
- Machine types: The following machine types are not available:
- Memory-optimized (M1, M2)
- Compute-optimized (C2)
- Accelerator-optimized (A2)
- GPU quota: Currently allocation of GPU cores is disabled. If you have a legitimate use case for GPU cores, please reach out to your account manager.
The following limitations apply to Azure Subscriptions you create for learners as part of the sandbox environment.
- Virtual machines: Only General-Purpose type VM sizes with 4 vCPU or less are allowed. GPU (and all other accelerated) compute sizes are not allowed.
The following limitations apply to AWS accounts you create for learners as part of the sandbox environment.
- EC2 Instances: Only General-Purpose instance types with 4 vCPU or less are allowed. GPU (and all other accelerated) compute sizes are not allowed. The following list shows the valid machine types.
- Route53 Domain: It's not allowed to register domain names through Rxoute53.
- t*.nano
- t*.micro
- t*.small
- t*.medium
- t*.large
- t*.xlarge
- m*.nano
- m*.micro
- m*.small
- m*.medium
- m*.large
- m*.xlarge
- a1.nano
- a1.micro
- a1.small
- a1.medium
- a1.large
- a1.xlarge
- i*.large
Last modified 7mo ago