Clear answers for companies buying compute, data-center operators selling capacity, infrastructure partners developing sites and business buyers sourcing GPU hardware.
ComputePorts, Chinese name 算力港, is a U.S.-based AI infrastructure sourcing and compute brokerage platform. The focus is compute brokerage, powered-land and data-center development, infrastructure procurement, cluster deployment and colocation.
Yes. ComputePorts can match qualified GPU-cloud, bare-metal and dedicated-cluster capacity with AI, rendering, inference and enterprise workloads. Capacity can be structured as GPU-hours, dedicated nodes, reserved clusters, committed-use contracts or commercial sales partnerships.
Yes. Qualified operators can provide the GPU model, node configuration, available capacity, deployment region, wholesale rate, bandwidth, minimum term and SLA. ComputePorts can then pursue reseller, agency, referral or reserved-capacity opportunities with qualified customers across Asia-Pacific and global markets.
The two businesses reinforce each other. A data-center operator may first procure GPUs, servers, networking, storage, power or cooling; after deployment, the same infrastructure can generate recurring revenue through compute-capacity sales. When demand exceeds available capacity, that demand can support the next expansion cycle.
ComputePorts accepts qualified business requirements for RTX 5090 32GB, professional GPUs, AI servers and related infrastructure. Exact manufacturer SKU, quantity, price and availability are checked for each project rather than treating a generic model name as confirmed inventory.
Yes. Projects may include powered land, utility power, fiber, cooling, zoning and development-readiness review, followed by introductions to developers, infrastructure capital, colocation partners and compute operators.
Send the workload type, preferred GPU or performance target, required capacity, deployment region, expected duration, start date, bandwidth or latency requirements, budget and any required SLA. This lets ComputePorts compare suitable capacity rather than quoting generic cloud pricing.
Send the data-center or operator name, deployment region, GPU model and configuration, number of available GPUs or nodes, wholesale rate, minimum term, network specifications, SLA, provisioning time and whether the capacity can be reserved or scaled.
Each project is structured around the actual counterparties, deployment region, workload, ownership and commercial purpose. Compute capacity is not offered as a mechanism to disguise hardware destinations or bypass applicable export-control, sanctions or end-use requirements.
Manufacturer names may appear for product identification. Unless ComputePorts expressly states otherwise in writing, those references do not imply affiliation, authorization, partnership or endorsement.