Research workstations built for iteration speed.
Fine-tune open-weight models, run reproducible evaluations, and iterate on prompts without burning credits or pushing data outside your lab.
Why AI Research teams pick EMARQUE
Three constraints we hear most often — and the EMARQUE response for each.
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Per-token spend is hard to predict
A single fine-tune run can cost more than a month of cloud budget. Local GPUs make the cost a one-time capital line.
- 02
Datasets stay sensitive
Research data, customer transcripts, and proprietary corpora can't leave the building. Cloud is off the table.
- 03
Iteration cycles need to be short
Waiting on a multi-tenant cloud GPU breaks the flow of an evaluation run or hyperparameter sweep.
Multi-point QA before delivery
Every EMARQUE-built system is QA-tested across CPU, GPU, memory, and disk before it ships. NVIDIA DGX units ship configured by NVIDIA — we add local setup and warranty handoff.
Validated software stack
We pin CUDA, drivers, and the runtime you choose. DGX units arrive with the AI Enterprise stack pre-configured. No drift, no surprise breakage on the next package update.
Local support, locally stocked parts
Pickup and replacement coordinated from the EMARQUE Lab in Klang Valley. Remote diagnostics included on every build, including DGX.
What you can build on it
Every system ships with a pre-loaded runtime, validated drivers, and a benchmark report — tuned for the workload you described at scoping.
- Fine-tune up to 70B locally
- AI PRO 500 with 4 × RTX PRO 6000 Blackwell handles LoRA / QLoRA on the 7B–70B range. EMARQUE AI Server with NVLink H200s opens 70B+ full fine-tunes.
- Pre-loaded research stack
- Ships with CUDA, Ollama, vLLM, PyTorch, JupyterLab, and your choice of conda or uv environments — validated before delivery.
- Benchmark report on arrival
- We measure tokens-per-second on your real prompts and a reference suite so you have a published baseline from day one.
- Quiet enough for the office
- Sub-50 dBA at idle on AI PRO 500. No need for a noise-isolated server room.
Where AI Research teams usually land
Custom multi-GPU pedestal — quiet enough for the office, sized for production departmental AI.
Desktop AI supercomputer for trillion-parameter local AI — Grace Blackwell Ultra, 748 GB coherent memory.
Compact personal AI supercomputer — petaFLOP-class compute on your desk, in four OEM variants.
Spec your research rig
Share model size, evaluation cadence, and dataset constraints. EMARQUE replies with a configuration.
Tell us about your workload.
Model size, concurrency, latency budget, deployment site. EMARQUE returns a quote in MYR within one Malaysian business day, sized to the workload — not the salesperson’s quota.
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Key Account Manager
+6012 627 2280 - 02
Request for Quotation
business@emarque.co