Aoraki Cluster Job Limits
==========================

This document describes the job submission and resource limits enforced on the Aoraki cluster.
These limits are designed to ensure fair access, system stability, and predictable performance
for all users.

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Per-User Job Limits
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The following limits apply **per user**, regardless of partition unless otherwise noted:

- A maximum of **5,000 submitted jobs** may be in the queue at any time.
- Up to **10 OnDemand jobs** may be run concurrently and **do not count** toward the 5,000 job limit.
- Users are limited to **2 simultaneously running GPU jobs per GPU partition**.
  Any additional GPU jobs will remain queued until resources become available.

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Per-GPU Job Limits
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Each job requesting GPU resources (including jobs launched via OnDemand) is limited to:

- **Maximum GPUs:** 2 GPUs
- **Maximum CPUs:** 16 CPUs  
  - **RTX3090 and L40_24GB partitions:** 8 CPUs
- **Maximum system memory:** 150 GB  
  - **RTX3090 and L40_24GB partitions:** 60 GB
- **Node usage:** Single-node only

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Per-CPU-Only Job Limits
--------------------------------

For CPU-only jobs (including OnDemand jobs):

- Each job is limited to execution on a **single node**.
- The number of simultaneous jobs, CPUs, and system memory per job are constrained by the
  partition being used, as outlined below.

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Partition-Specific Limits
--------------------------------

The following table summarises the limits for CPU-only jobs by partition:

.. list-table::
   :header-rows: 1
   :widths: 20 25 25 30

   * - Partition
     - Max Simultaneous Jobs
     - Max CPUs per Job
     - Max System Memory per Job
   * - Aoraki (default)
     - 100
     - 126
     - 1000 GB
   * - Aoraki_bigcpu
     - 50
     - 252
     - 1500 GB
   * - Aoraki_fastcore
     - 50
     - 94
     - 1500 GB
   * - Aoraki_bigmem
     - 10
     - 126
     - 2000 GB
   * - Aoraki_long
     - 25
     - 252
     - 2000 GB
   * - Aoraki_short
     - 250
     - 32
     - 256 GB
   * - Aoraki_small
     - 30
     - 8
     - 32 GB
   * - OnDemand
     - 10
     - 252
     - 2000 GB

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Notes
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- Jobs that exceed these limits will remain queued until sufficient resources are available.
- Limits may be adjusted during maintenance periods or in response to system load.
- Users with special requirements should contact the Research Computing support team
  before submitting large or unusual workloads.