Three days. Hundreds of conversations. Countless ideas about what’s possible when computational science meets the right infrastructure.

The Molecular Modelling Conference 2025 at RMIT University Melbourne has wrapped, and we’re heading home energised by the work being done across Australasia and beyond.

What We Saw

From quantum mechanics breakthroughs to molecular dynamics innovations, enhanced sampling techniques to AI/ML integration—the research on display at MM2025 was world-class.

Early-career researchers presented alongside established experts. Poster sessions sparked debates that continued long after the formal programme ended. Workshops pushed attendees to think differently about their workflows. And the networking? Exactly what a conference should be—genuine, curious and collaborative.

What We Brought

As Gold Sponsor alongside NVIDIA®, we were proud to support this event and the community behind it.

Day 1: We kicked things off with a lunchtime pitch on the GIGABYTE ATOM—showing how compact, powerful workstations are changing what’s possible in molecular modelling labs.

Day 2: Our morning session dove deeper into the latest tools and technologies, with expert insights from NVIDIA on how the right compute infrastructure accelerates discovery. The questions from attendees were sharp, specific and exactly the kind of technical conversation we love having.

All three days: Our booth was a hub of activity. Researchers stopped by to talk about scaling simulations, accelerating workflows, integrating AI and solving the compute bottlenecks that slow down great science. We showcased the ATOM, explained our Smash an ATOM program and had dozens of conversations about what HPC and AI infrastructure can do when it’s built with researchers in mind.

The conference dinner: Sponsored by XENON and GIGABYTE®, it was a chance to step away from the podium and connect over good food and better conversation. We also announced our two prize winners—recognising exceptional work that’s pushing molecular modelling forward.

What We Learned

The challenges facing computational scientists are real: limited access to high-performance infrastructure, workflows that don’t scale, tools that don’t integrate and budgets that don’t stretch far enough.

But the ambition is even more real. Researchers are finding ways to do more with less, building collaborations that span institutions and continents, and using AI and machine learning to tackle problems that were unsolvable just a few years ago.

That’s exactly the kind of work we want to support.

Thank You

To the organisers at RMIT University—thank you for putting together a conference that genuinely mattered.

To our partners at NVIDIA® and GIGABYTE®—thank you for helping us make this event possible.

To the speakers, poster presenters and workshop leaders—thank you for sharing your work and your insights.

And to every researcher we met over the past three days—thank you for the conversations, the questions and the reminder of why we do what we do.

What’s Next

If we spoke at MM2025 and you’d like to continue the conversation, reach out. If we didn’t get a chance to connect, it’s not too late—get in touch.

Whether you’re thinking about upgrading your lab’s compute infrastructure, exploring AI-accelerated workflows or simply want to talk through what’s possible, we’re here.

Because the best science happens when infrastructure stops being a bottleneck and starts being an accelerator.

See you at the next one.