AI Solutions
Compute infrastructure for real AI workloads.
Arxhe develops infrastructure around workload requirements rather than generic cloud assumptions.
AI Training
Train and fine-tune demanding models.
Large-model development requires coordinated accelerator, memory, networking and storage performance. Arxhe develops infrastructure approaches for:
AI Inference
Infrastructure designed for deployment.
Inference requirements vary significantly according to model architecture, user volume, latency expectations and workload behaviour. Arxhe evaluates compute architecture around:
No generic performance claim substitutes for workload-specific testing.
Physical AI & Robotics
Compute for intelligence in the physical world.
Robotics and autonomous systems combine perception, reasoning, simulation and real-time interaction. Arxhe is interested in infrastructure supporting:
Industrial & Enterprise AI
Infrastructure for specialised applications.
AI adoption is expanding across sectors including:
Arxhe works with customers and technology partners to understand the infrastructure requirements behind these applications.
Visual & Scientific Computing
Accelerated computing beyond generative AI.
GPU and accelerator infrastructure can also support:
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.
Disclaimer
Performance varies according to hardware configuration, software, workload, model, network, storage and operating environment. Any Arxhe performance figures will identify the relevant test configuration and should not be interpreted as a universal performance guarantee.