AI Infrastructure

AI infrastructure designed as a system.

Modern AI performance depends on much more than the accelerator. Arxhe develops infrastructure architectures that consider memory, compute, networking, storage, orchestration, power and cooling together.

The AI Infrastructure Stack

A complete infrastructure stack.

01

Accelerator Compute

Accelerators provide the computational foundation for training, inference, simulation and high-performance workloads. Arxhe evaluates accelerator architectures according to workload, memory, interconnect, deployment and lifecycle requirements.

02

High-Bandwidth Memory

Memory bandwidth and capacity are central to modern accelerator performance. Arxhe's current advanced-memory program focuses on HBM3E, with HBM4 included in the future technology roadmap as products become commercially available and qualified.

03

Host Compute

CPU architecture, system memory and I/O are selected according to the requirements of the accelerator platform and target workloads.

04

High-Speed Networking

Distributed AI requires high-bandwidth, low-latency communication between compute nodes. Network architecture is selected according to cluster topology, accelerator architecture and workload requirements.

05

Storage

Training and inference systems require storage architectures capable of supporting large datasets, model checkpoints and high-throughput data pipelines.

06

Orchestration

Containerisation, cluster scheduling and workload-management technologies can be incorporated according to customer and project requirements.

07

Power & Cooling

High-density accelerator infrastructure requires coordinated power and thermal engineering. Arxhe considers these requirements as part of infrastructure planning rather than as an afterthought.

Deployment Models

Flexible deployment options.

Dedicated AI Infrastructure

Customer-specific accelerator capacity designed around defined workloads and utilisation requirements.

Data-Centre Deployment

Compute infrastructure deployed through appropriately selected Australian or regional data-centre environments.

Managed Infrastructure

Integrated infrastructure with agreed operational, monitoring and technical support requirements.

Project-Based Compute

Purpose-built infrastructure for specialised AI, simulation, robotics or industrial projects.

Technology Selection

Fit for purpose, not technology for technology's sake.

Arxhe evaluates infrastructure according to the following criteria. Technology manufacturers and products are selected on a project-by-project basis. Reference to any third-party technology does not imply a commercial partnership unless expressly stated.

workload characteristics
accelerator requirements
memory capacity and bandwidth
system topology
interconnect requirements
storage performance
power density
thermal requirements
software compatibility
supply availability
lifecycle requirements
total commercial viability

Disclaimer

Product names, specifications and trademarks referenced on this page are owned by their respective manufacturers. References are provided to describe technologies that Arxhe evaluates, integrates or may support. They do not imply that Arxhe is an authorised distributor, reseller, cloud partner or affiliate of the relevant manufacturer unless expressly stated.

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