Simple compute credits
Purchase HKD-denominated credits and consume them across eligible GPU workloads.
HarborMesh Cloud connects verified GPU supply across high-performance nodes and provides customers with simple, scalable compute capacity priced in HKD.
We provide distributed GPU compute capacity for customers who need flexible resources for non-critical AI inference, generation, rendering and batch processing workloads.
Customers buy compute credits or enterprise GPU capacity. We route approved workloads to verified GPU supply, monitor performance and provide usage reporting.
Purchase HKD-denominated credits and consume them across eligible GPU workloads.
Reserve daily GPU capacity for high-volume inference, rendering or batch compute.
Combine Tier S, Tier A and Tier B GPU pools under a managed capacity agreement.
Onboard verified GPU owners, PC labs, render farms and small GPU server operators.
Actual availability, speed and pricing depend on current supply, workload type and reservation level.
High-volume plans are structured for PG-friendly invoicing, sales review and enterprise onboarding.
For testing, prototypes and small GPU jobs.
For AI apps, studios and teams with recurring workloads.
For high-volume inference, rendering and generation workloads.
A managed GPU pool across Tier S, Tier A and Tier B nodes.
HarborMesh Cloud is designed to onboard verified GPU providers such as PC labs, render farms, esports facilities, GPU server operators and high-performance workstation owners.
Initial preferred minimum: NVIDIA RTX 3060 12GB or higher, stable power, wired internet and reliable daily availability.
Apply as providerHarborMesh Cloud sells GPU compute services, compute credits and enterprise capacity contracts.
We do not provide cryptocurrency exchange, remittance, custody, investment products, payment processing for third parties or mining-as-a-service.
Customers may not use the platform for illegal activity, malware, unauthorized access, spam, surveillance abuse or prohibited regulated workloads.
Send your workload type, target GPU tier, expected daily usage and preferred billing method.