Tech
How Melbourne’s AI and Data Center Flywheel Is Accelerating Research Innovation
This sponsored article is brought to you by Melbourne Convention Bureau (MCB) supported by Business Events Australia.
Melbourne’s reputation as a global events city, from the Australian Open tennis and Formula 1 Australian Grand Prix to hosting NFL regular season games, now intersects with a different form of scale: large-scale compute, data-intensive research, and advanced engineering. Long recognized for delivering complex international events, the city is applying the same organisational capability to the infrastructure that underpins modern AI research, positioning Melbourne at the convergence of global convening and high-performance digital systems.
Consistently ranked among the world’s most livable cities, Melbourne was named Time Out’s Best City in the World in 2026, the first Australian city to hold the title.
More materially for research and innovation, Melbourne is also the nation’s fastest‑growing capital, attracting increasing concentrations of engineering and technology talent, investment and international engagement.
Australia’s artificial intelligence (AI) ecosystem is entering a new phase, defined less by isolated initiatives and more by the convergence of compute infrastructure, research intensity and international collaboration. Melbourne sits at this intersection.
Melbourne’s trajectory highlights what enables research at scale: access to frontier-grade compute, proximity to industry-ready infrastructure, and repeated opportunities for global research communities to convene.
Sovereign AI compute, expanding hyperscale data center campuses and a growing pipeline of international research-led conferences are reshaping the city’s research landscape. Together, these elements position Melbourne as a focal point for applied AI research, advanced engineering and data-intensive science.
The growing global influence of AI engineering, underscored by NVIDIA CEO Jensen Huang receiving the 2026 IEEE Medal of Honor, reflects the scale of this shift. In Melbourne, these factors form a reinforcing research flywheel linking infrastructure, discovery and collaboration.
Rather than focusing on startup density or short-term commercial output, Melbourne’s trajectory highlights what enables research at scale: access to frontier-grade compute, proximity to industry-ready infrastructure, and repeated opportunities for global research communities to convene.
NVIDIA CEO Jensen Huang received the 2026 IEEE Medal of Honor.IEEE
Sovereign AI foundations
The most recent cornerstone of Melbourne’s AI capability is MAVERIC (Monash AdVanced Environment for Research and Intelligent Computing), Australia’s largest university-based AI supercomputer. Built and deployed by Monash University in partnership with NVIDIA, Dell Technologies, and CDC Data Centres, MAVERIC has been engineered specifically for large scale AI and data intensive science, with medical research representing a key priority. Indeed, in these regards MAVERIC has been designed to function as a Next Generation Trusted Research Environment thus ensuring that it is state-of-the-art and provides a safe and secure framework for the analysis of large sensitive datasets.
MAVERIC has been designed to function as a Next Generation Trusted Research Environment thus ensuring that it is state-of-the-art and provides a safe and secure framework for the analysis of large sensitive datasets.Monash University
Designed to support research projects including cancer and neurodegenerative disease detection, clinical trial analysis and drug discovery through to materials science and engineering, MAVERIC enables Australian researchers to train and evaluate large models domestically while keeping highly sensitive datasets secure and under national jurisdiction. This sovereign design is particularly relevant in fields such as medical research where privacy, regulation or intellectual property constraints limit the use of offshore cloud resources.
Monash University Vice-Chancellor and President Professor Sharon Pickering with researchers [left to right] Professor Anton Peleg, Professor Victoria Mar, Professor James Whisstock, Vice-President (Strategy and Major Projects) Teresa Finlayson, and Professor Patrick Kwan.Eamon Gallagher (Australian Financial Review)
Technically, the system reflects the latest shifts in high performance AI architecture. Built on NVIDIA GB200 NVL72 platforms and integrated using Dell’s rack scale infrastructure, MAVERIC employs closed loop liquid cooling to reduce water consumption compared with conventional air-cooled systems, aligning large scale compute growth with sustainability objectives while supporting high density, high throughput workloads.
Professor James Whisstock, Deputy Dean Research of Monash’s Faculty of Medicine Nursing and Health Sciences commented, “MAVERIC provides a huge leap forward in our compute capability that will revolutionize our researchers’ ability to address the most challenging and important research questions across the fields of medical research, information technology, and STEM disciplines. It will seed wonderful new cross-disciplinary collaborations, underpin the work of our best and brightest young researchers and will allow our scientists to continue to make major discoveries that positively impact the Australian and global population more broadly.”
“MAVERIC provides a huge leap forward in our compute capability that will revolutionize our researchers’ ability to address the most challenging and important research questions across the fields of medical research, information technology, and STEM disciplines.” —James Whisstock, Monash University
Monash University frames MAVERIC not as a standalone asset, but as part of the national research infrastructure, intended to strengthen collaboration across academia, healthcare, government and industry. This approach positions Melbourne at the forefront of sovereign AI enabled research in the region.
Data centre scale as research infrastructure
The infrastructure demands of modern AI research extend well beyond individual systems. Melbourne’s expanding data centre footprint now supports hyperscale compute, applied AI deployment and large-scale research workloads simultaneously.
Total data center investment, US$ billions.Source: Data Centres Global Report 2025
In February 2026, CDC Data Centres opened its first Melbourne campus in Brooklyn, with two live facilities and a third in planning. Combined with CDC’s Laverton campus, Melbourne is projected to host more than 800 megawatts of sovereign digital capacity, critical for AI workloads requiring sustained access to high-density power, cooling and secure environments.
Parallel investment is underway in Fishermans Bend, where NEXTDC is developing a AUD $2 billion AI and digital infrastructure hub adjacent to the Innovation Precinct. Planned facilities include an AI Factory, a Mission Critical Operations Centre and a Technology Centre of Excellence, enabling sovereign AI, high-performance computing and cross-sector collaboration across health, defence and finance.
Melbourne hosts Australia’s largest cluster of AI firms, with 188 companies, and more than 40 data centres currently operate across Victoria. The Victorian Government has complemented this growth with an initial AUD $5.5 million investment in the Sustainable Data Centre Action Plan.
Together, these developments reinforce Melbourne’s role as a national and increasingly global hub for high-performance AI infrastructure as model complexity and infrastructure dependency continue to accelerate.
Applied AI research at scale
Monash University is home to MAVERIC, Australia’s largest university-based AI supercomputer, built and deployed by Monash in partnership with NVIDIA, Dell Technologies, and CDC Data Centres.Monash University
Melbourne’s research strength is underpinned by a dense university network with deep capability across AI, data science and engineering. Institutions including Monash University, the University of Melbourne, Deakin University, La Trobe University, RMIT University and Swinburne University of Technology collectively support research across machine learning, robotics, human-computer interaction, extended reality and advanced manufacturing.
This concentration fosters applied collaboration where AI intersects with medicine, sustainability, cognitive systems and immersive technologies. For visiting researchers, it provides access not only to academic expertise but also to live infrastructure environments where research can be tested and validated, reinforcing Melbourne’s position as one of the Asia-Pacific’s most integrated AI research ecosystems.
Conferences as research accelerators
Plenary session at Melbourne Convention and Exhibition Centre.Melbourne Convention Bureau
Melbourne’s selection as host city for a growing number of international technology conferences reflects the convergence of research capability and infrastructure maturity.
In September 2026, Data Center World Australia and The AI Summit Australia will be co-located at the Melbourne Convention and Exhibition Centre, bringing together global leaders across AI, digital infrastructure and enterprise technology. The pairing highlights a broader reality: advances in AI are inseparable from the infrastructure that enables them.
Melbourne’s expanding data centre footprint now supports hyperscale compute, applied AI deployment and large-scale research workloads simultaneously.
Research-led conferences are also expanding Melbourne’s global footprint. ICONIP 2026, hosted by Deakin University, will bring up to 700 researchers in neural networks and machine learning, followed in 2027 by IEEE VR, the leading conference on virtual reality and 3D user interfaces, attracting up to 1,000 delegates.
In this context, conferences function not simply as events, but as infrastructure for knowledge transfer, supporting standards exchange, collaboration and system-level learning at global scale.
A global platform for advancing research
Sovereign compute, data centre scale and a strong conference pipeline create a reinforcing cycle, enabling researchers to engage directly with infrastructure and industry well beyond the event itself.
By closing the gap between theory and deployment, Melbourne supports deeper technical exchange and more enduring global research networks.
This role was recognized in 2025 when the IEEE awarded Melbourne Convention Bureau the 2025 Organisational Supporting Friend of IEEE Member and Geographic Activities (MGA) — the first convention bureau in the Asia Pacific region to receive the acknowledgement as a result of the longstanding partnership with the IEEE Victorian Section.
Melbourne Convention Bureau (MCB) representative Fatima Aboudrar, Senior Business Development Manager, with Vijay S. Paul, Immediate Past Chair, IEEE Victorian Section, receiving Supporting Friend Member recognition in 2025.
As AI research becomes increasingly dependent on infrastructure scale, sovereign capability, and global collaboration, Melbourne is moving beyond hosting conversations to actively enabling the systems that advance AI and data‑driven research at global scale.
Conference support in Melbourne
Melbourne Convention Bureau
This ecosystem is underpinned by Melbourne’s highly accessible city centre, where world-class venues, research institutions and industry hubs are located in close proximity. Free public transport and a compact city footprint enable seamless movement from conference floor to real-world application.
Melbourne Convention Bureau (MCB) supports professionals in bidding for, securing and delivering international conferences across Melbourne and regional Victoria. Backed by the Victorian Government, MCB has for more than 60 years helped bring the world’s leading thinkers to the state, positioning Melbourne as a place where ideas become impact.
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A federal judge ruled this week that a Tulsa, Oklahoma sheriff’s deputy violated a woman’s Fourth Amendment rights when using Flock Safety to search for her license plate without a warrant.
As reported by 404 Media, this ruling does not create a binding precedent, but it is one of the first times that a federal judge has ruled that a Flock search is unconstitutional.
In this case, Judge Sara Hill said the deputy should have obtained a warrant before searching the Flock database for the woman’s license plate, as he had “no apparent reason” for the search “other than the fact that [the woman’s vehicle] had a California license plate.”
The deputy then used the woman’s travel history in Flock as part of the justification for searching her car, where he allegedly discovered 91 pounds of meth. But Judge Hill wrote that all evidence obtained after the Flock search “must be suppressed as the fruit of a poisonous tree.”
Judge Hill also took broader aim at warrantless searches of the Flock database, writing that tracking people’s location — even when they’re in public places — becomes “constitutionally problematic when law enforcement can indiscriminately and passively catalog your whereabouts over an extended period of time and then use that information for any purpose whenever convenient.”
“This is a type of indiscriminate mass surveillance,” Hill wrote. “It is not targeted on a single individual, as in [Carpenter v. United States, a Supreme Court case focused on how government agencies access location data from cell phones]. It is a tool that collects information about all vehicles that pass by any network-connected camera at all times, and it serves up the information to law enforcement on demand.”
Hill joins a growing chorus of Flock critics from across the political spectrum. Numerous local and state governments, including Florida and Texas, have said they will stop using the technology. And on Friday, Senator Bernie Sanders — a Democrat from Vermont — introduced the Block Flock Act, which would bar federal agencies from using automated license plate readers such as Flock.
Flock CEO Garretty Langley — who we’ll be interviewing on-stage at TechCrunch Disrupt — has called for a “compromise” between privacy and safety and offered an apology to women who have been stalked by law enforcement officers using the Flock system. And with all those cancellations, Flock has also reportedly offered voluntary employee buyouts as a way to shrink its workforce.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
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Amazon Web Services CEO Matt Garman said the company has stopped using nondisclosure agreements (NDAs) in its dealings with government agencies as it seeks approval to build new data centers.
Garman’s statement is just one sentence in a longer blog post in which he tried to push back against widespread suspicion of data centers, and to make the case that they’re actually good for communities.
NDAs are a significant piece of the broader data center backlash. For example, environmental activist Erin Brockovich recently said that the number one complaint she’s heard about data centers is transparency, with these projects following a common pattern: “projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”
As a result of that backlash, New York announced a one-year moratorium on permits for large data centers, and according to Garman, there are more than 100 data center moratoriums currently being considered across the United States.
“If these measures are enacted, the U.S. could be writing its own losing ticket to this race, and the consequences would last generations,” Garman claimed. “As a country, we can’t afford to find ourselves in that position.”
Garman also attempted to puncture what he said are four big myths around data centers: that they consume too much water, that they increase electricity costs, that they emit an enormous amount of pollution, and that they don’t provide any benefits to their communities.
Pointing to an Amazon report about its own water usage, Garman said that “direct data center water consumption” only accounts for 0.5% of all industrial water usage in the United States, “orders of magnitude less than golf courses, almond farming, and many other industries.”
Nvidia recently said it’s eliminating “pretty much all water usage” inside a data center, but those claims — like Amazon’s — seem to ignore the broader water usage involved in electricity generation and chip manufacturing. Scientists have also said they need to study data centers’ water and energy usage independently, since there are no federal or state requirements around how tech companies report this data.
As for electricity rates, Garman said they’ve only gone up in some states with large numbers of data centers, while they’ve gone down or at least grown more slowly in others. And he argued, “In instances where energy rates are going up, it’s primarily because the grid is old and hasn’t been invested in and expanded before the demand arrived.”
On the other hand, an independent watchdog said recently data centers were the main culprit behind a 76% year-over-year price increase on America’s largest electrical grid.
When it comes to pollution — an issue that the NAACP is currently suing Elon Musk’s SpaceX/xAI over — Garman complained that critics focus on the maximum amount of pollution allowed under data center permits. For example, a planned Amazon data center in Texas is permitted to release 33 million tons of carbon dioxide per year, which is more than any other power plant in the United States.
“The truth is data center generators almost never run,” Garman said. “They’re idle 99.9% of the time (they run roughly 10 hours per year, mostly for required maintenance testing).”
As for the community benefits, this is where Garman wrote, “We no longer use nondisclosure agreements with the government agencies we work with on our projects.” Plus, he said, “Over the past three years, Amazon has contributed more than $1 billion to communities across the U.S. in which we have a meaningful data center presence.”
Will this be enough to quell community suspicion? Perhaps not — Anthropic CEO Dario Amodei recently argued that the AI backlash is “fundamentally a crisis of trust,” where people assume governments and tech companies are always “cooking up some new way to screw them over.” Similarly, writer Jasmine Sun noted that when data center opponents are presented with the tech companies’ arguments, their response is usually, “I don’t believe them.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
>
Amazon Web Services CEO Matt Garman said the company has stopped using nondisclosure agreements (NDAs) in its dealings with government agencies as it seeks approval to build new data centers.
Garman’s statement is just one sentence in a longer blog post in which he tried to push back against widespread suspicion of data centers, and to make the case that they’re actually good for communities.
NDAs are a significant piece of the broader data center backlash. For example, environmental activist Erin Brockovich recently said that the number one complaint she’s heard about data centers is transparency, with these projects following a common pattern: “projects announced after permits are already secured, developers who don’t return calls, local officials who signed NDAs before their neighbors knew a project was being considered.”
As a result of that backlash, New York announced a one-year moratorium on permits for large data centers, and according to Garman, there are more than 100 data center moratoriums currently being considered across the United States.
“If these measures are enacted, the U.S. could be writing its own losing ticket to this race, and the consequences would last generations,” Garman claimed. “As a country, we can’t afford to find ourselves in that position.”
Garman also attempted to puncture what he said are four big myths around data centers: that they consume too much water, that they increase electricity costs, that they emit an enormous amount of pollution, and that they don’t provide any benefits to their communities.
Pointing to an Amazon report about its own water usage, Garman said that “direct data center water consumption” only accounts for 0.5% of all industrial water usage in the United States, “orders of magnitude less than golf courses, almond farming, and many other industries.”
Nvidia recently said it’s eliminating “pretty much all water usage” inside a data center, but those claims — like Amazon’s — seem to ignore the broader water usage involved in electricity generation and chip manufacturing. Scientists have also said they need to study data centers’ water and energy usage independently, since there are no federal or state requirements around how tech companies report this data.
As for electricity rates, Garman said they’ve only gone up in some states with large numbers of data centers, while they’ve gone down or at least grown more slowly in others. And he argued, “In instances where energy rates are going up, it’s primarily because the grid is old and hasn’t been invested in and expanded before the demand arrived.”
On the other hand, an independent watchdog said recently data centers were the main culprit behind a 76% year-over-year price increase on America’s largest electrical grid.
When it comes to pollution — an issue that the NAACP is currently suing Elon Musk’s SpaceX/xAI over — Garman complained that critics focus on the maximum amount of pollution allowed under data center permits. For example, a planned Amazon data center in Texas is permitted to release 33 million tons of carbon dioxide per year, which is more than any other power plant in the United States.
“The truth is data center generators almost never run,” Garman said. “They’re idle 99.9% of the time (they run roughly 10 hours per year, mostly for required maintenance testing).”
As for the community benefits, this is where Garman wrote, “We no longer use nondisclosure agreements with the government agencies we work with on our projects.” Plus, he said, “Over the past three years, Amazon has contributed more than $1 billion to communities across the U.S. in which we have a meaningful data center presence.”
Will this be enough to quell community suspicion? Perhaps not — Anthropic CEO Dario Amodei recently argued that the AI backlash is “fundamentally a crisis of trust,” where people assume governments and tech companies are always “cooking up some new way to screw them over.” Similarly, writer Jasmine Sun noted that when data center opponents are presented with the tech companies’ arguments, their response is usually, “I don’t believe them.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
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