Melbourne Becomes an AI Research Hub with the MAVERIC Supercomputer

Melbourne is building an AI ecosystem: the MAVERIC supercomputer for medical and scientific research, data center capacity expanding to 800 MW, and a steady stream of international conferences. 188 AI companies are already based in the city. Melbourne is shifting from a conference city to a hub of real computing infrastructure.

AI-processed from IEEE Spectrum AI; edited by Hamidun News
Melbourne Becomes an AI Research Hub with the MAVERIC Supercomputer
Source: IEEE Spectrum AI. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
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Primary sourceIEEE Spectrum AI ↗
Editor-in-Chief
Key metric #1AI Factory for model deployment
Key metric #2Mission Critical Operations Centre for systems management
Key metric #3Technology Centre of Excellence for cross-sector collaboration

Melbourne is becoming a hub of the global AI research ecosystem. Three elements drive the shift: the MAVERIC supercomputer, expanding data center infrastructure, and a growing pipeline of international technology conferences.

MAVERIC: sovereign computing for science

The new cornerstone of Australia's AI ecosystem is the MAVERIC supercomputer (Monash AdVanced Environment for Research and Intelligent Computing), built by Monash University in partnership with NVIDIA, Dell Technologies and CDC Data Centres. It is the largest university AI supercomputer in Australia, designed specifically for large-scale AI and data-intensive science.

The system runs on NVIDIA GB200 NVL72 and uses closed-loop liquid cooling, which cuts water consumption compared with traditional air-cooled systems and addresses sustainability as computing volumes grow. MAVERIC is designed as a Next Generation Trusted Research Environment, allowing researchers to work securely with sensitive data within national jurisdiction.

"MAVERIC will open up enormous opportunities for our researchers to tackle the most complex challenges in medical science, computer science and STEM disciplines," said James Whisstock, Deputy Dean Research at Monash University.

The supercomputer supports projects ranging from cancer and neurodegenerative disease research to clinical trial analysis and the search for new materials.

Megawatts of computing power

Melbourne is expanding its data center infrastructure alongside MAVERIC. In February 2026, CDC Data Centres opened its first Melbourne campus in Brooklyn, with two facilities operating and a third planned. Together with the existing Laverton campus, it will create a base of more than 800 MW of sovereign digital capacity, which is critical for AI workloads.

At the same time, NEXTDC is investing AUD $2 billion in an infrastructure hub at Fishermans Bend, next to the Innovation Precinct. Planned facilities include:

  • AI Factory for model deployment
  • Mission Critical Operations Centre for systems management
  • Technology Centre of Excellence for cross-sector collaboration

Melbourne already concentrates 188 AI companies and more than 40 data centre facilities across Victoria. The state government has committed AUD $5.5 million to the Sustainable Data Centre Action Plan to tie infrastructure growth to environmental goals.

Conferences as research accelerators

A reinforcing cycle is emerging between computing power and international events. In September 2026, the Melbourne Convention and Exhibition Centre will host Data Center World Australia and The AI Summit Australia, events that bring together global leaders in AI and digital infrastructure. This colocation reflects a basic fact: AI progress cannot be separated from the infrastructure that powers it.

The city also hosts research conferences: ICONIP 2026 (up to 700 researchers in neural networks and machine learning) and IEEE VR 2027 (up to 1000 delegates in virtual reality). In this context, conferences function not just as events but as infrastructure for knowledge exchange and for building global research networks.

What this means

As AI research depends more and more on infrastructure scale and sovereign computing capability, cities like Melbourne are closing the gap between theory and practice. This puts researchers in direct contact with real hardware and helps build stronger global research networks, something out of reach for those who work only in the cloud.

Key Questions Answered

What are the key details on MAVERIC: sovereign computing for science?

The new cornerstone of Australia's AI ecosystem is the MAVERIC supercomputer (Monash AdVanced Environment for Research and Intelligent Computing), built by Monash University in partnership with NVIDIA, Dell Technologies and CDC Data Centres. It is the largest university AI supercomputer in Australia, designed specifically for large-scale AI and data-intensive science. The system runs on NVIDIA GB200 NVL72 and uses closed-loop liquid cooling, which cuts water consumption compared with traditional air-cooled systems and addresses sustainability as computing volumes grow. MAVE

What are the key details on Megawatts of computing power?

Melbourne is expanding its data center infrastructure alongside MAVERIC. In February 2026, CDC Data Centres opened its first Melbourne campus in Brooklyn, with two facilities operating and a third planned. Together with the existing Laverton campus, it will create a base of more than 800 MW of sovereign digital capacity, which is critical for AI workloads. At the same time, NEXTDC is investing AUD $2 billion in an infrastructure hub at Fishermans Bend, next to the Innovation Precinct. Planned facilities include: AI Factory for model deployment Mission Critical Operations Ce

What are the key details on Conferences as research accelerators?

A reinforcing cycle is emerging between computing power and international events. In September 2026, the Melbourne Convention and Exhibition Centre will host Data Center World Australia and The AI Summit Australia, events that bring together global leaders in AI and digital infrastructure. This colocation reflects a basic fact: AI progress cannot be separated from the infrastructure that powers it. The city also hosts research conferences: ICONIP 2026 (up to 700 researchers in neural networks and machine learning) and IEEE VR 2027 (up to 1000 delegates in virtual reality).

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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