Dedicated nodes
For projects that need stable resource boundaries, a defined software environment, and sustained use.
AI COMPUTE · INFRASTRUCTURE
Compute infrastructure. Built for AI.
We bring compute, networking, storage, and deployment planning into one practical path—shaped around real AI workloads.
COMPUTE01
NETWORK02
STORAGE03
Compute infrastructure · Structural view
COMPUTE, SHAPED TO WORKLOAD
Not a stock list. A decision that starts with the workload.
Training, fine-tuning, and inference place different demands on memory, interconnects, and data paths. We understand the workload before discussing nodes and clusters.
Multi-node clusters
Parallelism, node-to-node communication, and shared data paths are evaluated together—not reduced to GPU count.
Deployment coordination
Images, dependencies, data access, acceptance criteria, and ongoing support enter the same conversation.
BEYOND THE GPU
Compute is one part of the system.
A usable AI environment aligns compute, networking, storage, and operations around the same workload.
01
Compute
Model scale, precision, parallelism, and memory requirements shape the node.
Architecture conceptA discussion aid—not a production topology or a claim of deployed services.
WORKLOADS
Bring resource choices back to the task.
There is no universal topology. Each engagement starts with business goals, model behavior, and delivery boundaries.
01
Training & fine-tuning
Model scale, precision, data throughput, parallelism, checkpoints, and sustained runtime.
02
Inference deployment
Latency and throughput goals, concurrency, model loading, capacity margins, and service access.
03
Dedicated enterprise environments
Resource isolation, network boundaries, data movement, software baselines, and operational ownership.
Libra by AROXEON
In development · VS Code extension firstLIBRA BY AROXEON
Different models. One coding workflow.
Libra is a multi-model AI coding tool in development. Its planned first release is a VS Code extension that brings model access, platform credits, and usage into one account.
- Choose a model for the task
- Set reasoning depth when supported
- Code context, conversation, and Diff flow
- See platform credits and usage together
Explore LibraProduct website coming soon
FROM NEED TO DELIVERY
Resolve uncertainty while the solution is still being shaped.
This is the intended engagement flow. Scope, timing, and acceptance are confirmed for each project.
Understand the need
Clarify workload, duration, environment, and business goal.
Evaluate the solution
Consider compute, network, storage, and deployment conditions together.
Confirm commercials
Agree on configuration basis, delivery boundary, and commercial terms.
Coordinate deployment
Prepare the environment and validate it against agreed criteria.
Support
Continue operating conversations within the confirmed scope.
AROXEON
From infrastructure to developer tools.
合肥艾洛思信息科技有限公司 focuses on AI compute and infrastructure while developing Libra as an independent product brand. Both address how AI moves from resources into real work.
AROXEON is developing its own compute center in Korea to support project-specific AI workload planning and deployment coordination.
Meet AROXEON