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JOB MANAGEMENT
Organize experiments and training runs clearly
Track configurations, resource allocations, status, and logs from a consistent operating view.
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Distributed Training
GPU infrastructure for scalable and efficient AI training
Designed for developers and research teams. Clear jobs, shared environments, practical scale.
A focused path from notebook to distributed job
RIGHT-SIZED COMPUTE
Align capacity with model and dataset scale
Choose focused single-node environments or plan larger coordinated clusters with expert support.
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TEAM WORKFLOWS
Create repeatable environments for collaboration
Keep images, storage paths, job definitions, and project conventions consistent across a team.
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Practical capabilities for production delivery
Notebooks
Interactive environments for exploration.
Training jobs
Repeatable runs with explicit resources.
Distributed scale
Coordinate work across multiple nodes.
Shared storage
Keep datasets and checkpoints accessible.
Logs and status
Follow progress through the full run.
Architecture support
Plan compute around the training strategy.
DELIVERY & AVAILABILITY
Capacity shaped around your deployment
Hardware, region, schedule, and commercial terms are confirmed for each project. Contact our team for current availability.
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Contact UsMove your distributed training workload forward.
Singapore operated
HEXBIT PTE. LTD. serves AI teams from its Singapore base.
Flexible by design
Move from focused resources to dedicated capacity as requirements evolve.
Expert-led delivery
Translate workload goals into a practical compute and model architecture.