Technology
System-level thinking for accelerated computing.
AI infrastructure performs as a system. Arxhe's technology approach considers the complete path from data and memory through compute, interconnect, storage and infrastructure.
Memory
Feeding the accelerator.
As compute performance increases, memory capacity and bandwidth increasingly determine how effectively accelerator resources can be utilised. Arxhe evaluates advanced memory in the context of real system architecture rather than as an isolated component.
Accelerators
Compute matched to workload.
Different workloads place different demands on compute architecture. Technology selection considers model architecture, precision requirements, training versus inference, memory footprint, bandwidth, interconnect, software ecosystem, power, cooling and total system economics.
Interconnect
Scale depends on communication.
Distributed computing requires efficient data movement between accelerators, hosts and storage. Cluster topology and networking technology are therefore considered alongside accelerator selection.
Storage
Keeping compute supplied with data.
Storage architecture should be designed around the dataset, access pattern and workload rather than treated as generic capacity. Arxhe evaluates high-throughput and scalable storage approaches for AI and high-performance workloads.
Software & Orchestration
Infrastructure that applications can use.
Arxhe evaluates containerisation, orchestration, scheduling, monitoring and workload-management technologies according to project requirements. We do not prescribe one software architecture for every workload.
Power & Thermal Engineering
Compute density changes the data centre.
Modern accelerator systems can create significant power and cooling requirements. Arxhe incorporates rack density, electrical infrastructure, cooling architecture, redundancy and operational requirements into infrastructure planning.
Technology Principles
Principles that guide our technology approach.
Measurable performance
Performance claims should be supported by defined configurations and measurable results.
Interoperability
Architectures should provide a practical pathway for technology evolution.
Traceability
Critical hardware should have clear provenance and product documentation.
Security
Security requirements should be considered across hardware, software, network and operations.
Lifecycle planning
Technology selection should consider future supply, support and upgrade paths.
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.