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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.

Configure & QuoteTalk to a Workstation Expert
●NVIDIA-PoweredAMD PartnerMulti-Point QAFrom 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. EMARQUE chooses 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. EMARQUE picks the chassis, board, CPU, GPU mix, cooling, and storage for your workload — then assembles and validates 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 GDDR7 ECC) or RTX 5090 (32 GB GDDR7) — 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 GDDR7 on RTX PRO 6000 Blackwell. Silent data corruption is not a debugging tax you should be paying in 2026.

Local multi-point QA

Every PRO 500 ships with multi-point QA across CPU, GPU, memory, and disk — and a benchmark report run on a model class similar to yours.

Build options

Pick your parts — EMARQUE validates the combination.

Every option below is a real, current-generation component the EMARQUE Lab builds with. Not every combination is sensible — when a configuration is submitted EMARQUE sanity-checks 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 PRO 6000 Blackwell Max-Q Workstation Edition — 96 GB GDDR7 ECC, 300 W (blower, multi-GPU stack)
  • NVIDIA RTX 5090 — 32 GB GDDR7, 575 W (blower-style for 2-4 stack)

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. EMARQUE sizes the PRO 500 and sends a quote.

Configure PRO 500Compare systemsContact us
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 PRO 6000 Blackwell gives 384 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 PRO 6000 Blackwell, 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 PRO 6000 Blackwell or RTX 5090.
  • Multi-point QA 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 PRO 6000 Blackwell 96 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.

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.
  • 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. EMARQUE confirms the exact recipe at quotation against the 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 EMARQUE typically recommends 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 EMARQUE's multi-point QA. Field upgrades are supported — every chassis EMARQUE ships has GPU, RAM, and NVMe headroom designed in, with documented part numbers so the customer's 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. EMARQUE can pre-install a custom stack on request.
  • 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. EMARQUE returns a tailored quote and a build sheet you can send to procurement.

Open the configurator+6012 627 2280

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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