Next-gen GPU platforms
New NVIDIA platforms introduced as they become available and as client demand justifies.
- Next-generation NVIDIA GPUs
- Application-specific accelerators where appropriate
- Hardware-agnostic stack for rapid transitions
Enterprise-grade NVIDIA GPU infrastructure, colocated inside Tier III Australian data centres — engineered for AI, ML, and research workloads at scale. New cluster deploying later 2026.
The latest NVIDIA GPU platforms inside Tier III+ Australian data centres — built for AI, ML, and research workloads that demand serious performance and sovereign data residency.
Selected for AI inference, model training, and large-scale research — with the memory bandwidth and performance headroom demanding workloads require.
Hourly access for burst and variable workloads; reserved contracts for sustained compute. Pricing benchmarked against global GPU cloud providers.
Colocated in established Tier III or above data centres in Melbourne or Sydney — redundant power, cooling, and connectivity to industry-standard uptime specs.
For Australian AI teams, researchers, and enterprises — where your GPU infrastructure lives is more than a latency question.
Your data stays under Australian jurisdiction, subject to Australian law — no overseas exposure or foreign government access risk.
Milliseconds matter in production AI. Melbourne and Sydney colocation means sub-20ms to your team, your users, and your infrastructure.
No ITAR, EAR, or foreign jurisdiction concerns. Built for regulated industries, government agencies, and sensitive research environments.
Australian-owned and operated. Talk to someone in your timezone, in AEST business hours, who understands the local market.
Our new cluster deploys later 2026 inside Tier III Australian data centres. We scale capacity and service lines from there as demand justifies — disciplined growth, not speculative buildout.
Latest NVIDIA GPU platforms deploying into Tier III Australian data centres. On-demand and reserved capacity for AI and ML workloads.
Latest NVIDIA GPU servers deploying later 2026. Get in touch to discuss requirements and register early interest.
Next-generation server platforms, additional colocation sites, and AI consultancy services as demand grows.
Phase 2 scales what Phase 1 establishes — more capacity, newer hardware, and expanded services driven by client demand.
New NVIDIA platforms introduced as they become available and as client demand justifies.
Evaluating AI consultancy in Phase 2, informed by client feedback from Phase 1.
Additional Tier III+ sites to support redundancy, latency, and capacity beyond a single facility.
Lumus Technology Pty Ltd is an Australian AI compute infrastructure company — staged growth, disciplined capital, Australian-owned and operated.
We build on a staged model: establish client relationships and prove demand through GPU colocation, then scale capacity and service lines as the market justifies.
Our new cluster deploys later 2026 — the latest NVIDIA GPU platforms inside Tier III Australian data centres. We're building the service and early client relationships now.
Building early client relationships ahead of our later-2026 launch.
Latest NVIDIA GPU platforms. New cluster deploying later 2026.
Active investor and strategic partner conversations underway.
Whether you're shipping AI products, running long training jobs, or managing sensitive workloads — we're building for you.
Ship faster with dedicated GPU capacity that scales with your inference needs. No overseas latency, no data export concerns.
Long training runs, no surprises. Reserved capacity means your job runs when you need it, with Australian data residency guaranteed.
Academic-grade access to serious hardware, without overseas data transfers or foreign jurisdiction exposure for sensitive research.
Australian data residency, compliance support, and dedicated infrastructure for organisations where data governance is non-negotiable.
Whether you need GPU compute, want to partner, or are exploring investment — we'd like to hear from you. We work with AI product teams, ML engineers, research institutions, and enterprises building on GPU compute.