Arcitecta is a Melbourne-based data management company whose core platform, Mediaflux, sits above heterogeneous storage to give organisations a single, metadata-driven view of all their structured and unstructured data. Mediaflux acts as a rich data fabric for research and HPC environments, orchestrating tiered storage, lifecycle policies, workflow automation and long-term preservation across disk, object, cloud and tape, while its XODB metadata engine is designed to scale from billions of assets to petabyte and even exabyte-class deployments https://www.arcitecta.com/mediaflux/about/
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In the video, Emily explains how Arcitecta’s internal creative team worked with international digital artists on the “worlds within worlds” concept, capturing the local national library with detailed 3D scans and turning it into a 20-minute generative artwork that wraps around the booth. The LED walls and immersive content are not just eye candy; they are a way to make abstract ideas like metadata, namespaces and data provenance more tangible, so visitors can connect emotionally with the story of data over decades rather than only hearing about capacity metrics or IOPS in isolation
Chief Operating Officer Graeme Beasley then connects this artistic narrative to concrete use cases such as Princeton University’s TigerData platform, which is built on Mediaflux and already manages on the order of 200 petabytes and hundreds of millions of research assets across working, persistent and archival tiers ([Mysite][2]) Filmed at SC25 in St Louis, the conversation highlights how a unified metadata layer lets institutions span HPC scratch, campus NAS, object stores and tape libraries while still being able to find and restore old datasets years later, even as underlying hardware and vendors change around the platform
Beyond Princeton, Arcitecta positions Mediaflux as an AI-ready data infrastructure with native vector search, policy-driven data movement and point-in-time rollback that can protect against ransomware while feeding GPU clusters with the right training data at the right moment ([HPCwire][3]) The interview hints at deployments where Mediaflux federates a trillion-file namespace, uses dense XODB metadata to drive global workflows and underpins domain-specific services like long-term cultural archives or hybrid HPC “burst” computing, giving research organisations and enterprises a way to treat data management not as an afterthought but as a core part of their scientific and analytical pipeline
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