Understanding requirements, demand, impact and international best practice

Over the past two years, there has been a steep increase in the application of machine learning (ML) techniques across a wide range of domains. There has also been a significant increase in demand for hardware suited to deep learning, including GPUs and high-bandwidth file systems.

This project investigated the soft and hard infrastructure required to underpin and support the increasing adoption of ML, at scale.

Goals for the project were:

  1. To form a clear understanding of the relationship between research requirements, computing capability, capacity, and research impact;
  2. To understand individual researcher requirements and consolidate these across a large cohort of groups, so that we can make evidence-based recommendations on how to underpin research adopting ML in the most efficient and effective manner, at scale;
  3. To understand international best practices, and how it should inform Australian investment.
Start date 23 July 2019
Expected completion date 21 October 2019
Investment by ARDC $50,000
Lead node
1 Report
Investigation of demand for Machine Learning infrastructure deployed at scale: understanding requirements, demand, impact and international best practice
2 Poster
Showcasing the project work and outcomes.
3 Presentation
Ignite style talk at the Storage and Infrastructure Summit drawing together lessons learned from the project.

Core features

Community support and involvement
A strong sense of community support and involvement in developing answers to some of the more difficult questions our sector faces.
Ignite ideas and discussions
Enabling diverse stakeholders to engage in discussions and sharing of ideas to shape a research data commons for our nation.

Who is this project for?

Infrastructure providers

What does this project enable?

Projects in this area will contribute to determining what vision, governance structure and implementation program are necessary to create an Australian research data commons.

Handy resources

University of MelbourneVisit
The University of QueenslandVisit
Alfred HealthVisit
Victorian Institute for Forensic MedicineVisit
University of AucklandVisit
NVIDIA Visit