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Clusters

Built for your biggest workloads

Dedicated multi-node GPU clusters with high-speed interconnect, reserved for you alone. Sized to your job, priced for months rather than minutes.

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Why clusters

Reserved capacity, not a queue

An on-demand instance is one box you rent by the second. A cluster is a block of interconnected nodes held for you across the whole term — so throughput stays flat and nothing gets reclaimed mid-run.

Scalable performance

From eight GPUs to several hundred, on one high-speed fabric. Scale the block up between phases instead of re-architecting.

Dedicated and isolated

Single-tenant hardware, your own network segment, direct SSH. Nothing shared, nothing preempted.

Live in hours

Capacity already exists on the network. Most clusters go from signed spec to first job inside a day, not a procurement cycle.

Reserved pricing

A committed term buys a rate well under the spot market. One line item, no per-hour surprises.

Best fit

A cluster is the right call when

The GPUs never go idle

You're training or serving continuously, and several teams are queueing for the same cards. Reserved capacity costs less than paying spot around the clock.

The job spans many nodes

Distributed training, simulation or big-data work where nodes talk to each other constantly. Interconnect topology decides your throughput, not raw FLOPS.

An interruption is expensive

A production deadline, a customer-facing endpoint, or a run that loses days if a node disappears. You need the capacity guaranteed, in writing.

Dedicated GPU clusters as AI infrastructure

When a training run spans many nodes, reserve a dedicated GPU cluster on Linkhome AI. Clusters are long-term GPU rental with high-speed interconnect, isolated hardware and capacity guaranteed for the term.

It is AI infrastructure sized to your job, without building a data center: reserved AI compute rental at a predictable rate.