7 min read
From an agent pilot to a system you can run
A pilot shows that a model can attempt a task. Production needs an owner, an allow-list of tools, an evaluation, and a way for a person to challenge the outcome.
Australian AI infrastructure consultancy
Dynacore designs and delivers the infrastructure behind serious AI: GPU clusters, high performance storage and networks, power and cooling, and the path from an agent pilot to a governed production system.
Practices
Infrastructure, agents and integration are designed together. A model that cannot reach the enterprise, or a cluster the building cannot power, is an unfinished system.
Infrastructure
Strategy, design, build and operations for GPU clusters, high performance fabric and storage, and the power and cooling that make them runnable.
View the practiceSystems of action
Agents, orchestration and governance, taken from a pilot to a production system with an owner, an evaluation and a way to challenge an outcome.
View the practiceThe enterprise path
Connecting models and agents to identity, data and the workflows people already use, with an allow-list and a record of what ran.
View the practiceCloud, Microsoft workplace and the identity around them sit in a supporting practice. Cloud and workplace.
Delivery
Commissioning is the proof that the system you agreed is the system that is running: power, thermals, fabric, storage, failure behaviour and a written handover.
01
Workload, data, site, and the constraints that bound the design.
02
Reference architecture, capacity, fabric, storage, and facility interfaces.
03
Compute, network, storage, power and cooling, integrated as one system.
04
Identity, enterprise systems, models and agents, and the paths data may take.
05
Commissioning, acceptance, observability, handover, and the run model.
Named client references are published only with the client’s agreement. None are listed on this site. The record of the work is the set of artefacts below.
01
A written account of the workload, the data and the constraints.
02
A reference architecture and a capacity view.
03
A readiness note for power, cooling, space and network entry.
04
How identity, data and enterprise systems are reached.
05
Acceptance criteria for power, thermals, fabric, storage and failure behaviour.
06
An operating model, run notes, and a named way to support the system.
Insights
7 min read
A pilot shows that a model can attempt a task. Production needs an owner, an allow-list of tools, an evaluation, and a way for a person to challenge the outcome.
6 min read
Current GPU racks publish power figures around 120 kW and above. The planning work is whether this building can deliver that, and reject the heat, before anyone places an order.
6 min read
An AI factory is the system that turns power, data and accelerated compute into intelligence you can run. Plan it from the workload and the building, then choose the platform.
Principal
Navid Rastegani (Nav) owns and leads Dynacore. He is an infrastructure architect with more than 25 years of practice. His work is the end-to-end design and delivery of AI factories: GPU clusters, high performance computing, high performance storage, networking, and the power and cooling required to commission them.
About DynacoreAnswers
Short statements for the questions this page is here to settle.
Dynacore designs and delivers AI factory infrastructure and production agent systems for Australian enterprise. The work covers GPU clusters, high performance storage and networks, power and cooling, and the path from an agent pilot to a governed production system.
CIOs, CTOs, and infrastructure and data leaders in Australian enterprises and government.
Dynacore is operated by Natro Technic Pty Ltd, ABN 57 156 275 320, ACN 156 275 320.
Australia. Privacy, residency and local accountability are treated as design inputs, not as an afterthought.
Bring the workload, the constraint, and the decision in front of you. We will tell you plainly whether we are the right practice.