Compute
GPU, CPU, memory, node shape, and intra-node interconnect.
INFRASTRUCTURE
Make AI compute ready to use.
AROXEON plans compute, networking, storage, deployment management, and support as one infrastructure system.
Five parts of an AI infrastructure system
Each part affects performance, deployment, and day-to-day use.
Network
Cluster communication, service access, and separate management paths.
Storage
Hot data, model files, checkpoints, and result archives.
Deployment management
Images, dependencies, permissions, scheduling, observation, and change.
Support
Acceptance, issue handling, response methods, and support scope.
Different networks do different jobs.
Node fabric, cluster communication, service access, and management should be planned separately.
Intra-node GPU fabric
Handles GPU communication inside one node and affects parallel workloads.
Inter-node cluster network
Supports distributed training and multi-node workloads.
Service access network
Carries data, inference requests, and team access.
Management network
Supports operations and system management with defined access.
How data enters, runs, and stays.
Storage planning covers reads, writes, retention, and migration.
Dataset reads
Evaluate throughput, concurrency, and organization for training data.
Model files
Plan clear version control for models, weights, and environment assets.
Checkpoints
Configure storage around write frequency, volume, and recovery.
Result archive
Confirm how outputs, logs, and results are retained and moved.
Architecture conceptInfrastructure concept. Final configuration depends on the project.
Define operations and support early.
Environment, monitoring, acceptance, issue handling, and change methods are confirmed within the project scope.
Environment baseline
Confirm images, drivers, frameworks, and dependencies.
Monitoring and acceptance
Define monitored states and acceptance criteria.
Failure boundaries
Define ownership for hardware, network, software, and workload issues.
Change management
Confirm update windows, data movement, and environment changes.
KOREA COMPUTE CENTER
Developing our own compute center in Korea.
AROXEON is developing its own compute infrastructure in Korea to support AI workloads.
Configuration, supply status, and service terms are confirmed during project discussions.INFRASTRUCTURE
Tell us about your compute or infrastructure needs.
Email us about compute rental, infrastructure, Libra, or a business partnership.