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. 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.

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.
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.
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.
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.
Custom liquid loop on the CPU, ducted blower GPUs, low-noise case fans. Sustains peak clocks under multi-hour training without thermal throttle.
Registered ECC DDR5 memory + ECC GDDR on RTX 6000 / L40S. Silent data corruption is not a debugging tax you should be paying in 2026.
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.
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.
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.
Tell us your workload. We size the PRO 500 and quote within one business day.
How EMARQUE scopes this system: who it suits, when to pick it, when to pick something else, and what we add beyond the hardware.
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.
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.
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.
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.
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).
LoRA / QLoRA fine-tunes on 7B–70B open-weight models. Iterate on prompts, evaluations, and quantization without queuing for a shared GPU.
Serve 25–100 concurrent users on a single rig. Permission-aware retrieval over Slack archives, ticket queues, code repos, and document libraries.
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.
OCR, segmentation, multi-camera object detection, ASR, TTS — quiet enough to sit on a desk during build-and-test cycles.
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.
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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Tell us about your workload. We reply within one business day with a quote sized to fit.