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JADE II: no longer accepting jobs and soon to be decommissioned
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willfurnass authored Nov 15, 2024
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15 changes: 12 additions & 3 deletions _project_descriptions/jade2.md
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key: jade2
---

JADE II is a GPU-based, deep Learning focused, Tier-2 HPC system associated with 19 academic partners including Sheffield. It is the successor of the [JADE](http://www.jade.ac.uk/) system due to be decommissioned in 2021.
JADE II was a GPU-based, deep Learning focused, Tier-2 HPC service associated with 19 academic partners including Sheffield.
JADE II ceased to accept jobs on 2024-11-15 and
will be decommissioned on 2025-01-06.
JADE II was the successor of the [JADE](http://www.jade.ac.uk/) system, which was decommissioned in 2021.

RSES is a local institutional contact and is involved in promoting the system, managing user access and on-boarding, provide on-going technical support and training.
RSES has been a local institutional contact and has been involved in
promoting the system,
managing user access and
on-boarding,
and has provided on-going technical support and training.

In order to train users and promote the use of the system, RSES have created an [Introduction to Deep Learning Course](https://rses-dl-course.github.io/), a one-day mixture of theoretical lectures and practical labs in Python and R.
In order to train users and promote the use of the system,
RSES have created an [Introduction to Deep Learning Course](https://rses-dl-course.github.io/),
a one-day mixture of theoretical lectures and practical labs in Python and R.
15 changes: 1 addition & 14 deletions pages/community/resources-and-equipment/index.md
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* [**Stanage**](https://docs.hpc.shef.ac.uk/en/latest/stanage/index.html): run by TUoS. Optimised for high-performance, multi-node jobs. Typically 64 cores per node but has very high bandwidth, low latency network connections between nodes. Includes H100 and A100 GPUs.
* [**Bessemer**](https://docs.hpc.shef.ac.uk/en/latest/bessemer/index.html): run by TUoS. Optimised for high-throughput of single-node jobs. Typically 40 cores per node. Includes V100 GPUs.
* [**Bede**](https://bede-documentation.readthedocs.io/): a GPU HPC cluster run by the N8 consortium (inc. TUoS). Designed to accommodate multi-node, multi-GPU jobs inc. machine learning/deep learning workflows.
* [**JADE 2**](https://docs.jade.ac.uk/): a GPU HPC cluster run by a different consortium (inc. TUoS). Designed to accommodate single-node, multi-GPU jobs for machine learning and molecular dynamics workflows.

All TUoS academics and researchers can request free access to Stanage and Bessemer. Research students need their supervisors to make requests.

There are slightly more formal application processes for Bede and JADE 2 - see the [HPC Documentation for details](https://docs.hpc.shef.ac.uk/en/latest/other-uk-hpc-resources.html#university-of-sheffield-directly-affliated-hpc-systems).
There is a slightly more formal application processes for Bede - see the [HPC Documentation for details](https://docs.hpc.shef.ac.uk/en/latest/other-uk-hpc-resources.html#university-of-sheffield-directly-affliated-hpc-systems).

## Research data storage

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The RSE group and Department of Computer Science has access to a set of private nodes in Bessemer (GPU and big memory nodes) which we use for
delivering HPC projects and occasionally to provide access for collaborators.

### JADE Tier 2 GPU cluster

The Joint Academic Data Science Endeavour (JADE) is the largest GPU facility in the UK supporting world-leading research in machine learning.
The computational hub will harness the capabilities of the NVIDIA DGX-1 Deep Learning System and
comprise of 22 servers, each containing 8 of the newest NVIDIA Tesla P100 GPUs linked by NVIDIA's NV link interconnect technology.
The new JADE facility aims to address the gap between university systems and access to national HPC services.
This will drive forward innovation in machine learning, identifying new applications and insights in to research challenges.

The RSE group director (Paul Richmond) is a co-investigator in the [EPSRC Tier 2 JADE system](https://www.jade.ac.uk/).
As such members of the University of Sheffield are able to access this resource for free (for use with deep learning research).
Please [contact us](/contact/) for more information on accessing this resource.

### Cloud Computing

The RSE team can advise about the use of cloud computing or can help you to adapt your current workflows to cloud computing environments.
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2 changes: 0 additions & 2 deletions pages/training/programming/index.md
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* Suitable for running many independent jobs or single-node MPI jobs
* More GPUs coming soon!
* Tier 2 HPC systems with affiliation to University of Sheffield
* [JADE](https://docs.hpc.shef.ac.uk/en/latest/jade.html): for research projects that uses deep learning or simulate molecular dynamics.
* [JADE 2](https://docs.hpc.shef.ac.uk/en/latest/jade2.html) (coming soon): for research projects that uses deep learning or simulate molecular dynamics.
* [Bede](https://docs.hpc.shef.ac.uk/en/latest/bede.html): for very large GPU jobs that require multiple GPUs and multiple nodes.

## HPC Learning resources
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