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AI Workstation · Built to order in Malaysia

The custom AI workstation,
assembled by us.

AMD Threadripper PRO. Up to 4 NVIDIA GPUs. ECC end to end. Hybrid liquid cooling. Quiet enough for the office. Picked, assembled, burned in, and supported by EMARQUE specialists in Klang Valley — never re-badged OEM, never generic.

NVIDIA-PoweredAMD Partner57-Point QCFrom RM 35,000
AI PRO 500 — custom-built AI workstation with AMD Threadripper PRO and up to 4 NVIDIA RTX GPUs, assembled in Malaysia
4GPUs in a quiet pedestalUp to four datacenter-class accelerators with airflow tuned for sustained AI loads — sub-50 dBA at idle.
1 TBECC DDR5-6400 memory8-channel WRX90 platform. Room for long contexts, embedding stores, and dataset shards in RAM.
30 TBGen5 NVMe primary storageU.2 NVMe pool with RAID. Sustained reads where it counts — model loading and inference cache.
Why AI PRO 500

A workstation specified for your workload, not a shelf SKU.

Every PRO 500 is built one at a time. We choose the chassis, motherboard, CPU SKU, GPU mix, cooling topology, and storage tier for the model size and concurrency you're actually serving.

Built to order in Malaysia

No re-badged OEM. We pick the chassis, board, CPU, GPU mix, cooling, and storage for your workload — then assemble and validate it at the EMARQUE Lab in Klang Valley.

AMD Threadripper PRO foundation

Up to 96 cores, 192 PCIe Gen5 lanes, 8-channel ECC memory — enough headroom for 4 GPUs and high-bandwidth NVMe pools without lane sharing.

Configurable GPU mix

NVIDIA RTX PRO 6000 Blackwell (96 GB), RTX 6000 Ada (48 GB), RTX 5090 (32 GB), or L40S — pick the VRAM and FP precision your model actually needs.

Hybrid liquid + air cooling

Custom liquid loop on the CPU, ducted blower GPUs, low-noise case fans. Sustains peak clocks under multi-hour training without thermal throttle.

ECC end to end

Registered ECC DDR5 memory + ECC GDDR on RTX 6000 / L40S. Silent data corruption is not a debugging tax you should be paying in 2026.

Local 57-point QC + burn-in

Every PRO 500 ships with a 48-hour stress test across CPU, GPU, memory, and disk — and a benchmark report run on a model class similar to yours.

Build options

Pick your parts — we'll validate the combination.

Every option below is a real, current-generation component the EMARQUE Lab builds with. Not every combination is sensible — when you submit a configuration we sanity-check it against thermal, power, and PCIe-lane budgets before quoting.

Open the configurator

CPU

Pick one
  • AMD Ryzen Threadripper PRO 7995WX — 96-core / 192-thread, 384 MB L3, 350 W TDP
  • AMD Ryzen Threadripper PRO 7985WX — 64-core / 128-thread
  • AMD Ryzen Threadripper PRO 7975WX — 32-core / 64-thread
  • AMD Ryzen Threadripper PRO 7965WX — 24-core / 48-thread
  • Alternative: Intel Xeon W9-3475X (36-core) or W7-3565X (32-core)

Motherboard

Pick one
  • ASUS Pro WS WRX90E-SAGE SE — 7 × PCIe Gen5, 8-channel ECC
  • ASRock Rack WRX90 WS EVO — workstation-grade, full BMC
  • Supermicro M12SWA-TF — for WRX80 Threadripper PRO 5000 builds

GPU (up to 4)

Pick any
  • NVIDIA RTX PRO 6000 Blackwell Workstation Edition — 96 GB GDDR7 ECC, 600 W
  • NVIDIA RTX 6000 Ada Generation — 48 GB GDDR6 ECC, 300 W (blower)
  • NVIDIA RTX 5090 — 32 GB GDDR7, 575 W (blower-style for 2-4 stack)
  • NVIDIA L40S — 48 GB GDDR6 ECC, 350 W (passive, datacenter alt)

Memory

Pick one
  • 256 GB ECC DDR5-6400 RDIMM (8 × 32 GB)
  • 512 GB ECC DDR5-6400 RDIMM (8 × 64 GB)
  • 1 TB ECC DDR5-5600 RDIMM (8 × 128 GB — speed drops to 5600 with full population)

Primary storage

Pick one
  • 2 × 4 TB Samsung 9100 PRO M.2 NVMe Gen5 — RAID 1 for the OS + workspace
  • Up to 4 × 7.68 TB Solidigm D7-PS1010 U.2 NVMe Gen5 — RAID 10 for datasets
  • Up to 30 TB total Gen5 NVMe across M.2 + U.2 bays

Bulk storage (optional)

Pick any
  • Up to 8 × 24 TB Seagate Exos X24 (SAS / SATA) — RAID Z2 for archive
  • Up to 200 TB raw with hot-swap bays
  • Optional: ZFS or BeeGFS for shared filesystem

Power supply

Pick one
  • Corsair AX1600i — 1600 W, 80+ Titanium, digital telemetry
  • Seasonic Prime TX-1300 — 1300 W, 80+ Titanium
  • be quiet! Dark Power Pro 13 — 1300 / 1600 W, 80+ Titanium

Cooling

Pick one
  • Custom EMARQUE liquid loop — D5 pump, 360 mm+ radiator, EKWB or Bykski CPU block
  • Premium air — Noctua NH-U14S TR5-SP6 + Noctua / be quiet! case fans (sub-50 dBA idle)
  • Hybrid — liquid CPU, air GPU (default for 2-3 GPU configs)

Chassis

Pick one
  • Fractal Design Define 7 XL — sound-dampened, EMARQUE-tuned airflow
  • Phanteks Enthoo Pro 2 Server Edition — for full 4-GPU + bulk-storage builds
  • Lian Li PC-O11D EVO XL — showcase / lab-floor builds

OS

Pick one
  • Ubuntu 24.04 LTS Desktop or Server — default for AI workloads
  • Windows 11 Pro for Workstations — when your toolchain requires it
  • RHEL 9 / Rocky Linux 9 — enterprise-supported environments
  • Custom image on request — supplied by your IT team

Component selections are validated before quotation. SKU availability and final pricing depend on the NVIDIA / AMD channel at order time — every configuration is quoted in MYR with lead time noted.

Next step

Tell us your workload. We size the PRO 500 and quote within one business day.

Is this for you?

Client guidance — PRO 500.

How EMARQUE scopes this system: who it suits, when to pick it, when to pick something else, and what we add beyond the hardware.

Who it's for

Departmental AI owners — IT, data, or research team leads who need a quiet multi-GPU pedestal that serves a department without going to a server room.

Choose this when

  • 25–100 concurrent users on a private RAG, chat, or vision workload.
  • Fine-tuning 7B–70B class models with LoRA / QLoRA on your own data.
  • Office colocation — no dedicated server-room budget, but you still need ECC, redundant cooling, and steady-state inference.

Pick something else when

  • You're serving > 200 concurrent users or > 100B-class models in production — that's AI Server territory.
  • You need single-tenant air-gapped rackmount with redundant PSUs and hot-swap drives.
  • Multi-node training is on the roadmap — go straight to AI Server or DGX-class.

Best-fit workloads

  • Departmental private RAG with 25-100 concurrent users
  • Production vision and voice pipelines with sub-second latency
  • Fine-tuning 7B-70B models with LoRA / QLoRA
  • Quiet office colocation — no dedicated server room needed

Model & memory fit

4 × RTX 6000 Ada gives 192 GB of GPU memory across the four cards (no NVLink on this generation of RTX). Ideal for 30–70B inference and LoRA fine-tuning; for 70B+ full fine-tunes step up to AI Server with H200 NVLink.

Deployment shape

Pedestal tower, ~1.6–2 kW under load, sub-58 dBA at sustained load. Standard 240 V wall outlet; 10 GbE / 25 GbE optional uplink.

Alongside the rest of the lineup

Slots between DGX Spark (single-superchip, ≤ 70B quantized) and AI Server-class systems (rackmount, NVLink). Cheaper than DGX Station and configurable on a per-GPU basis — you choose RTX 6000 Ada, RTX 5090, or a mix.

Upgrade path

When you outgrow 4 GPUs or need NVLink between GPUs, move to one of the EMARQUE AI Server configurations (RTX PRO 6000 SE, HGX B200, or HGX B300).

What EMARQUE adds beyond the hardware

  • Custom GPU mix — pick from RTX 6000 Ada, RTX 5090, or PRO 6000 Blackwell.
  • 57-point assembly + 48 h burn-in QC before delivery.
  • Quiet-air cooling tuning so you can actually put it in the office.
  • Pre-installed runtime (vLLM, Ollama, TGI) validated on your real workload.
Use cases

What the AI PRO 500 runs day to day.

Individual / small team

Solo researcher and small-team fine-tuning

LoRA / QLoRA fine-tunes on 7B–70B open-weight models. Iterate on prompts, evaluations, and quantization without queuing for a shared GPU.

Departmental

Departmental private RAG and agents

Serve 25–100 concurrent users on a single rig. Permission-aware retrieval over Slack archives, ticket queues, code repos, and document libraries.

Pre-production

Pre-production validation

Test pipelines, evaluate runtimes (vLLM, TGI, Ollama), and pin a working stack before scaling to the AI Server or DGX Station for org-wide rollout.

Vision / Voice

Real-time vision and voice prototyping

OCR, segmentation, multi-camera object detection, ASR, TTS — quiet enough to sit on a desk during build-and-test cycles.

Spec sheet

What's inside an AI PRO 500.

GPU
Up to 4 × NVIDIA RTX 6000 Ada 48 GB (or RTX 5090 32 GB)
CPU
AMD Threadripper PRO 7995WX — 96 cores / 192 threads
Memory
Up to 1 TB ECC DDR5-6400 (8 channels)
Primary storage
Up to 30 TB Gen5 NVMe (RAID 0 / 1 / 10)
Bulk storage
Up to 200 TB enterprise HDD (RAID Z2)
Cooling
Hybrid liquid CPU loop + redundant air + GPU airflow channels
Acoustics
Sub-50 dBA at idle, sub-58 dBA under sustained load
OS
Ubuntu 24.04 LTS, RHEL 9, or Windows 11 Pro for Workstations

Configurations from RM 35,000 (single-GPU base) to RM 110,000+ depending on selection. Pricing in MYR. Lead time 2–5 weeks subject to NVIDIA channel availability for high-demand GPUs.

FAQ

AI workstations in Malaysia — common questions.

  • What is the price of the AI PRO 500 workstation in Malaysia?
    AI PRO 500 starts at RM 35,000 (single-GPU base configuration) and scales to RM 110,000+ depending on CPU SKU, GPU count, GPU model, RAM, storage, and cooling choice. The configurator at /quote returns a live estimate; final pricing is confirmed by formal quotation within one business day.
  • Which CPU and GPU combinations does EMARQUE recommend for fine-tuning?
    For LoRA / QLoRA fine-tuning on 7B–34B models: Threadripper PRO 7975WX (32-core) + 2 × NVIDIA RTX 5090 (32 GB) is the sweet spot for cost-per-token. For 70B-class fine-tuning: Threadripper PRO 7985WX + 2 × NVIDIA RTX PRO 6000 Blackwell (96 GB) keeps the model in VRAM without offload. We confirm the exact recipe at quotation against your real workload.
  • Is the AI PRO 500 actually quiet?
    Yes. Single-GPU configurations measure sub-50 dBA at idle and around 55 dBA under sustained load using the Fractal Design Define 7 XL chassis with Noctua fans and a custom liquid loop on the CPU. 4-GPU configurations are louder (closer to 58 dBA under load) and we typically recommend a lab or office-edge placement for those.
  • Can I bring my own components or upgrade later?
    Yes on both. Customer-supplied components (BYO GPU is common for teams with existing NVIDIA inventory) are validated and integrated as part of our 57-point QC. Field upgrades are supported — every chassis we ship has GPU, RAM, and NVMe headroom designed in, with documented part numbers so your IT team can self-service additions.
  • What software ships pre-installed?
    Default Ubuntu 24.04 LTS image includes: NVIDIA driver, CUDA Toolkit, cuDNN, PyTorch with the right CUDA wheel, Ollama, vLLM, JupyterLab, Docker / Podman, NVIDIA Container Toolkit, and a benchmark suite (MLPerf-derived) used to produce the delivery report. We can pre-install your custom stack on request.
  • How long is the lead time for a built AI workstation in Malaysia?
    Standard configurations ship in 2–3 weeks from signed quotation. Builds with high-demand SKUs (RTX PRO 6000 Blackwell, RTX 5090 in volume) can extend to 4–5 weeks depending on NVIDIA channel availability. We hold a small inventory of base configurations for urgent timelines — ask at quotation.
  • What's the difference between AI PRO 500 and the EMARQUE AI Server?
    PRO 500 is a desk-side workstation (pedestal form factor) for individual researchers, small teams, and pre-production validation — up to 4 GPUs, 1 TB ECC, quiet enough for office placement. The EMARQUE AI Server is a 4U rackmount for org-wide production deployment — up to 8 NVLink GPUs, 2 TB ECC, dual-socket EPYC / Xeon, redundant PSUs. Same software stack, different scale.

Build your AI PRO 500.

Open the configurator, pick your CPU, GPU mix, and storage tier. We'll come back inside a business day with a tailored quote, lead time, and a build sheet you can send to procurement.

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Contact Us

Get in Touch with Us

Tell us about your workload. We reply within one business day with a quote sized to fit.

  1. 01

    Key Account Manager

    +6012 627 2280
  2. 02

    Request for Quotation

    business@emarque.co