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Private AI infrastructure, on your hardware

For organizations whose models and data cannot live in someone else's cloud: GPU servers, networking and storage for on-premises AI — sized to your workloads, with NVIDIA H200 NVL typically from stock.

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Private AI infrastructure — GPU servers

Haink is a private AI infrastructure supplier with supply hubs in Hong Kong, Dubai and Mainland China. We deliver complete on-prem AI stacks — from a single DGX Spark on a developer's desk to multi-node H200/B200 clusters — with OEM warranties, export screening and DDP delivery across Asia, the GCC and Africa.

The private AI stack we deliver

LayerWhat we supplyAvailability
GPU serversDell R760xa, HPE DL380a Gen11, Lenovo SR675 V3 with NVIDIA H200 NVL 141 GBBase + GPUs often from stock
HGX-class systems8-GPU B200/B300 platforms for training clustersOn allocation, quoted honestly
Desktop AINVIDIA DGX Spark, RTX 6000 Ada workstationsTypically from stock
AI networking400G QSFP-DD, InfiniBand, NVIDIA ConnectX, Nexus 9300Optics same-day capable
AI storageNetApp AFF, Dell PowerScale for training datasetsShort lead times
Power & coolingHigh-density racks, rear-door HX, DLC readinessProject quote

Why teams go private

Data sovereigntyRegulated data that cannot leave your jurisdiction or network.
→ On-prem inference nodes, from ~$78k
Cloud cost controlSteady inference loads where cloud GPU bills outrun hardware in months.
→ Payback math included in proposals
Latency & controlReal-time workloads near your users and systems.
→ Edge to data center designs
Model confidentialityFine-tuned weights as core IP, kept in-house.
→ Air-gapped deployment options

Availability and pricing anchors

from $4,000DGX Spark — private AI on a desk
from $78,000H200 NVL inference node, often from stock
2–6 weekstypical full-stack deployment supply
DDPexport-screened delivery worldwide

Stock rotates daily — positions are "typically available" and confirmed per request, usually within one business day. Stock guides →

Export compliance. NVIDIA H200/H100/B-series GPUs are US export-controlled dual-use items (ECCN 3A090). Haink supplies them only after end-user and destination screening under US EAR and OFAC rules, and declines any order to a restricted destination or end use. Hong Kong and Mainland China destinations are treated as controlled under current US rules; orders are quoted accordingly.

Frequently asked questions

What is private AI infrastructure?

Compute, networking and storage you own and run — on-premises or colocated — for training and inference, instead of renting cloud GPUs. You control data, latency and cost; we supply the hardware stack with OEM warranties.

How much does private AI infrastructure cost?

Entry points: NVIDIA DGX Spark from ~$4,000 for development; a production H200 NVL inference node from ~$78,000; multi-node training clusters from low six figures depending on GPU allocation. We quote firm within one business day.

Private AI vs cloud — when does buying win?

At sustained utilization. A single H200-class node at typical cloud rates pays for itself in roughly 6–12 months of steady inference. We include the payback math with every proposal — see our Cloud vs Private AI guide.

Can you deliver and support outside major markets?

Yes — that is our specialty: DDP delivery with export screening and customs clearance to Asia, the GCC and Africa from hubs in Hong Kong and Dubai.

Do you also build the AI software?

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.

GPU hardware in stock → Cloud exit guide → AI training infrastructure → AI inference infrastructure →

Planning a private AI deployment?

Pricing, availability and delivered lead time within one business day.

sales@haink.org