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.
- 01
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.
57-point assembly + 48 h burn-in
Every EMARQUE-built system is stress-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, fast turnaround
Next-business-day pickup and replacement 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 6000 Ada 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. We will reply with a configuration and lead times.
Get in Touch with Us
Tell us about your workload. We reply within one business day with a quote sized to fit.
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Key Account Manager
+6012 627 2280 - 02
Request for Quotation
business@emarque.co