For organizations whose models and data cannot live in someone else's cloud: B300, B200 and H200 GPU clusters, networking and storage you own — at your site, or hosted with our Tier 1 data-center partner in the country you choose.
Haink is a private AI infrastructure supplier. We deliver complete stacks — from a DGX Spark on a developer's desk to multi-rack B300 and GB300 NVL72 clusters — with OEM warranties, export screening under US EAR/OFAC, delivery DDP and financing for defined projects.
| Layer | What we supply | How it is supplied |
|---|---|---|
| HGX B300 & GB300 NVL72 | 8-GPU HGX B300 servers and 72-GPU GB300 NVL72 racks for new training and inference clusters | Allocation to documented projects |
| HGX B200 / H200 | 8-GPU B200 and H200 systems where the workload or budget fits | Project order |
| H200 NVL servers | Dell R760xa, HPE DL380a Gen11, Lenovo SR675 V3 with H200 NVL 141 GB — inference in standard racks | Project order; lower entry cost |
| AI networking | 800G / 400G InfiniBand, Spectrum-X, NVIDIA ConnectX | Planned with the cluster |
| AI storage | NetApp AFF, Dell PowerScale, parallel file systems for datasets and checkpoints | Sized to GPU count |
| Power & cooling | Direct liquid cooling for B300 density, rear-door heat exchangers for H200 | Project quote |
| Hosting (optional) | Colocation with our Tier 1 data-center partner in the US and Asia-Pacific — GPU cluster hosting → | Capacity listed by location |
| Desktop AI | NVIDIA DGX Spark, RTX PRO 6000 workstations | Usually available |
How a project runs: our procurement process → · What to prepare: what we ask before a supply request → · Budget ranges: AI server cost →
Compute, networking and storage you own and run — on-premises or colocated — for training and inference, instead of renting cloud GPUs. You control data, capacity and cost; we supply the stack with OEM warranties and can host it for you as an option.
Indicatively: an eight-GPU HGX B300 server about $550k–750k, an H200 server $300k–400k, an H200 NVL inference pod from about $350k all-in, and a DGX Spark from about $4k for development. See AI server cost for clusters and running costs.
At sustained utilization. An owned B300 costs roughly 15–35% less per GPU-hour than renting over three years; H200 matches the lowest rental rates at 70% utilization and wins at higher utilization or over five years. Every proposal includes the comparison.
No. We deliver to your site, or place the cluster with our Tier 1 data-center partner in the US or Asia-Pacific — see GPU cluster hosting.
Yes — a senior AI/ML team delivers models, RAG pipelines and MLOps on the same contract as the hardware, so sizing is based on measured workloads.
Running AI on this infrastructure? Haink also builds the LLM & ML software that runs on it — model, pipeline and GPUs under one contract.
Tell us the workload, where it should run and when — we come back with the platform, a costed bill of materials, hosting options and financing.
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