Private LLM
Private assistants and document search
GPU servers and NVMe storage running language models and retrieval over internal documents, entirely inside your own network.

AI Infrastructure
Synapse Horizon is a Dubai-based B2B wholesaler of AI infrastructure hardware: GPU servers, liquid cooling and power, edge AI computers and high-speed networking for datacenters and server rooms across the GCC and MENA.
Tier-1 sourcing
Enterprise and datacenter grade
Logistics from Dubai
Delivery across the GCC
Partner-deployed
Installed, burned in, configured
Categories
Everything a private AI deployment needs, from GPU nodes to the cooling, power and fabric around them.




Planning a private AI deployment? Start with our overview, or pick a pre-matched hardware bundle.
Why Synapse Horizon
We supply the hardware. Our partner network designs, installs and commissions it.
Servers, networking and power sourced from Tier-1 enterprise manufacturers and authorised channels, with the manufacturer warranty applying.
Manufacturer warranty applies
Datasheets and safety certificates available on request, and export-control questions raised early, so security and procurement reviews move quickly.
Export-control questions raised early
Orders can be consolidated in Dubai and delivered across the GCC by road or sea, and certificates of origin can be supplied on request.
Road and sea delivery across the GCC
We supply the hardware. Our integration and AI-deployment partners rack, cable, burn in and set up the software stack on your premises.
Hardware that arrives as a working system
Applications
Typical deployments for organisations that keep sensitive data on their own premises.
Private LLM
GPU servers and NVMe storage running language models and retrieval over internal documents, entirely inside your own network.
Datacenter
High-density racks, liquid cooling, UPS and intelligent PDUs that bring existing rooms up to GPU power and heat levels.
Industrial edge
Rugged edge computers, vision systems and gateways that analyse video and sensor data where it is produced.
Guides

GPU rack power density and cooling explained: how to size rack kW and heat load, where air cooling stops, and when to move to rear-door or liquid cooling.

Direct to chip vs immersion cooling for GPU racks: rack density, energy, water, retrofit and upkeep compared, with a weighted tool to rank all four options.

800G Ethernet vs InfiniBand for AI clusters: speeds, loss handling, congestion control and leaf-spine sizing, with a tool that counts switches and links.

Private LLM hardware requirements explained: size GPU memory for model weights and KV cache, pick a precision, and match users to the right AI hardware bundle.
FAQ
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