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EMARQUE.AI
Solutions

On-premises AI, by workload.

Four workloads EMARQUE deploys regularly for Malaysian enterprises — private chat and RAG, vision and voice, analytics and forecasting, custom model training. Each is scoped, built, and supported on hardware designed and assembled in the EMARQUE Lab.

Contact salesView workloads

Private Chat & RAG

EMARQUE's Private RAG solution connects an on-premises LLM to internal documents, code repositories, ticketing systems, and knowledge bases — enabling conversational search and Q&A with full data sovereignty. EMARQUE engineers design the retrieval layer, permissions model, and evaluation harness; the customer's team gets a chat assistant they can trust because nothing leaves the network.

  • Conversational chat with citations to source documents
  • Permission-aware retrieval that mirrors your org
  • Open-weight models — Llama, DeepSeek, GPT-OSS, Mistral
  • Sub-second first-token, streaming responses
Typically delivered on
PRO 500AI Server
Configure for Private Chat & RAGCompare systems

Vision & Voice

EMARQUE's Vision and Voice solution runs real-time inference for camera feeds, microphone arrays, and IoT signals on on-premises GPU servers — object detection, OCR, speech-to-text, speaker diarisation, anomaly detection. EMARQUE engineers design the pipeline (capture → preprocess → model → action) and deploy it on hardware sized for the customer's stream count. No frames, no recordings, no transcripts leave the network.

  • Object detection, OCR, classification, segmentation
  • Speech-to-text and text-to-speech, multilingual
  • Edge deployment with offline-first sync
  • GPU-accelerated batch processing for back-catalogue work
Typically delivered on
PRO 500DGX Spark
Configure for Vision & VoiceCompare systems

Analytics & Forecasting

EMARQUE's Analytics & Forecasting solution runs regression, classification, and time-series models on warehouse data inside the customer's network — XGBoost, Prophet, PyTorch Forecasting, custom NN architectures, served from on-prem GPUs against the data layer analysts already use (Snowflake, Databricks, Postgres, BigQuery exports). EMARQUE sizes the rig, builds the training pipeline, and stands up the serving endpoints.

  • Demand forecasting, anomaly detection, churn modelling
  • Notebook-friendly — JupyterLab, RStudio Server
  • Connects to Postgres, BigQuery, Snowflake, Databricks
  • Reproducible builds with pinned CUDA + drivers
Typically delivered on
PRO 500AI Server
Configure for Analytics & ForecastingCompare systems

Custom Model Training & Deployment

EMARQUE's Custom Model solution covers the full lifecycle: data preparation, fine-tuning or training from scratch (LoRA, QLoRA, full fine-tune, distillation), evaluation against the customer's acceptance metrics, and production inference on on-premises GPUs — all under one engagement. Bring your own model and dataset, or scope the approach with EMARQUE engineers. EMARQUE sizes the hardware, prepares the pipeline, trains, evaluates, and ships.

  • LoRA / QLoRA fine-tuning on AI PRO 500
  • Full-parameter training on DGX Station GB300
  • Multi-node training on EMARQUE AI Server clusters
  • Benchmarked tokens-per-second on your real prompts
Typically delivered on
DGX StationAI ServerDGX B200
Configure for Custom Model Training & DeploymentCompare systems
Workload → System map

Which class fits which workload?

A quick orientation. For the full decision matrix see workstation vs server vs rack-scale.

WorkloadSolo / edgeDepartmentalOrg-wide / productionFrontier / rack-scale
Private Chat / RAGDGX SparkAI PRO 500EMARQUE AI Server / DGX B200GB300 NVL72
Vision / VoiceDGX Spark (edge)AI PRO 500EMARQUE AI Server—
Analytics / ForecastingDGX SparkAI PRO 500EMARQUE AI Server—
Fine-tuning (7B–70B)DGX StationAI PRO 500EMARQUE AI Server / DGX B200DGX GB300
Frontier training (>100B)——DGX B200 / DGX B300GB300 NVL72 / DGX GB300
By Industry

How are EMARQUE systems tuned for your team?

Each industry carries its own constraints — compliance regime, procurement cycle, budget window, latency budget. EMARQUE tailors the hardware, runtime, and documentation accordingly.

AI Research
AI Research & Engineering

AI Research

Fine-tune open-weight models, run reproducible evaluations, and iterate on prompts without burning credits or pushing data outside your lab.

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Business & Enterprise
Business & Enterprise

Business & Enterprise

Private chat, document intelligence, vision pipelines, and analytics — running 24/7 on hardware you own. Predictable cost, no egress, no per-token surprises.

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Education & Government
Education & Government

Education & Government

Air-gappable workstations and servers for universities, research institutes, and government agencies — with the procurement paperwork, GST handling, and warranty terms your finance team needs.

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LLM Models

Build, test, and run top LLMs from OpenAI, Meta, DeepSeek, and more.

  • OpenAI GPT-OSS 20B
  • OpenAI GPT-OSS 120B
  • Meta Llama 3 (8B — 70B)
  • Meta Llama 3.1 (8B)
  • Meta Llama 3.2 (1B — 90B)
  • Meta Llama 3.3 (70B)
  • DeepSeek R1 (7 — 67B)
  • DeepSeek Coder (6.7 — 33B)
  • DeepSeek Math (7B)
  • DeepSeek V3 Chat (16B)
02Talk to EMARQUE

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.

Request a quoteContact sales
  1. 01

    Key Account Manager

    +6012 627 2280
  2. 02

    Request for Quotation

    business@emarque.co