AI Workstations On-Prem
AI Workstations On-Prem
AI Workstations On-Prem
On-Prem & Edge AI for Your Company. 
AI Workstations, Ready to Scale.












We build AI workstations and servers for teams that need low-latency, data-sovereign inference. Single-CPU, multi-GPU designs, tuned for real workloads — from private chat + RAG to vision, voice, analytics, and model customization.
15+
Years experience
15+
Years experience
15+
Years experience
10,000+
Systems Built
10,000+
Systems Built
10,000+
Systems Built
57-Point
Assembly & QC Process
57-Point
Assembly & QC Process
57-Point
Assembly & QC Process
NVIDIA
GPU Powered Systems
NVIDIA
GPU Powered Systems
NVIDIA
GPU Powered Systems






EMARQUE OPERATIONS DEFINED: 
PERFORMANCE, VALUE & SUPPORT
Our AI Workstations are built to handle complex algorithms and massive datasets. Equipped with cutting-edge hardware, these systems provide the computational power needed to accelerate your AI research and development.
At EMARQUE, we’ve made it our mission to ensure that your corporation or company’s needs and demand for computing power are met by delivering quality hardware solutions with recommendations tailored to your requirements.
Industry Leading Clients


















On-Premise AI & Data Sovereignty
Your Models, Your Hardware, Your Rules
Run AI where your data lives—on hardware you control. EMARQUE AI Workstations deploys on Linux (Ubuntu) or Windows and keeps sensitive sources, prompts, and outputs inside your network by default.
- Control & Compliance: Align access, retention, and audit trails with your policies. 
- Performance & Cost Predictability: Local GPUs provide low-latency responses without egress or per-token surprises. 
- Resilience: Operate through internet or cloud outages; update on your schedule. 
- Security by Design: Default-deny outbound, role-based access, encrypted storage, and tested backups. 

LLM Models
Build, test and deploy intelligent industry-leading LLM models 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)
DeepSeek R1 (7 – 67B)
DeepSeek Coder (6.7 – 33B)
DeepSeek Math (7B)
DeepSeek V3 Chat (16B)
Meta Llama 3.3 (70B)

On-Premise AI & Data Sovereignty
Your Models, Your Hardware, Your Rules
Run AI where your data lives—on hardware you control. EMARQUE AI Workstations deploys on Linux (Ubuntu) or Windows and keeps sensitive sources, prompts, and outputs inside your network by default.
- Control & Compliance: Align access, retention, and audit trails with your policies. 
- Performance & Cost Predictability: Local GPUs provide low-latency responses without egress or per-token surprises. 
- Resilience: Operate through internet or cloud outages; update on your schedule. 
- Security by Design: Default-deny outbound, role-based access, encrypted storage, and tested backups. 

LLM Models
Build, test and deploy intelligent industry-leading LLM models 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)
DeepSeek R1 (7 – 67B)
DeepSeek Coder (6.7 – 33B)
DeepSeek Math (7B)
DeepSeek V3 Chat (16B)
Meta Llama 3.3 (70B)

On-Premise AI & Data Sovereignty
Your Models, Your Hardware, Your Rules
Run AI where your data lives—on hardware you control. EMARQUE AI Workstations deploys on Linux (Ubuntu) or Windows and keeps sensitive sources, prompts, and outputs inside your network by default.
- Control & Compliance: Align access, retention, and audit trails with your policies. 
- Performance & Cost Predictability: Local GPUs provide low-latency responses without egress or per-token surprises. 
- Resilience: Operate through internet or cloud outages; update on your schedule. 
- Security by Design: Default-deny outbound, role-based access, encrypted storage, and tested backups. 

LLM Models
Build, test and deploy intelligent industry-leading LLM models 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)
DeepSeek R1 (7 – 67B)
DeepSeek Coder (6.7 – 33B)
DeepSeek Math (7B)
DeepSeek V3 Chat (16B)
Meta Llama 3.3 (70B)

Tailored Systems for Every Team
On-prem AI, sized for today and ready for tomorrow.
Pick the Tier that fits your workload now then scale to 
larger-VRAM cards, multi-GPU, and bandwidth as demand grows.
AI Work 100
AI PRO 500
AI Enterprise 1000

RM 8,000 - RM 40,000
AI Work 100
Up to 2 x NVIDIA RTX 5090 32GB GDDR7
AMD Ryzen 9 9950X - 16 Cores 32 Threads
Up to 192 GB 6400MHz DDR5 RAM
Up to 12 TB Gen5 NVME SSD
Up to 96 TB HDD Storage
Processor Liquid Cooling or Air Cooling
AI Work 100
AI PRO 500
AI Enterprise 1000

RM 8,000 - RM 40,000
AI Work 100
Up to 2 x NVIDIA RTX 5090 32GB GDDR7
AMD Ryzen 9 9950X - 16 Cores 32 Threads
Up to 192 GB 6400MHz DDR5 RAM
Up to 12 TB Gen5 NVME SSD
Up to 96 TB HDD Storage
Processor Liquid Cooling or Air Cooling
AI Work 100
AI PRO 500
AI Enterprise 1000

RM 8,000 - RM 40,000
AI Work 100
Up to 2 x NVIDIA RTX 5090 32GB GDDR7
AMD Ryzen 9 9950X - 16 Cores 32 Threads
Up to 192 GB 6400MHz DDR5 RAM
Up to 12 TB Gen5 NVME SSD
Up to 96 TB HDD Storage
Processor Liquid Cooling or Air Cooling
We Got You Covered
Low-latency performance, data sovereignty, and predictable costs—backed by pro build standards and responsive after-sale care.

Low-Latency AI Performance
GPU-accelerated designs deliver stable tokens-per-second for chat, RAG, vision, and voice.

Predictable Cost & Control
Own the capacity you use. No per-token surprises; your data stays on your hardware.

NVIDIA GPU-First Architecture
Single-CPU, multi-GPU layouts validated for thermals, power, and airflow—ready to scale.

ECC Memory & NVMe Path
256–2,048 GB ECC and NVMe/U.2 pools keep long contexts, embeddings, and jobs in fast storage.

Pro Build & Burn-In
Proprietary 57-point assembly, BIOS/BMC hardening, and 48 h CPU/GPU/mem/disk stress with a benchmark report.

Priority Care
NBD pickup/return (where available), rapid diagnostics, remote assist, and parts SLAs to keep you online.
We Got You Covered
Low-latency performance, data sovereignty, and predictable costs—backed by pro build standards and responsive after-sale care.

Low-Latency AI Performance
GPU-accelerated designs deliver stable tokens-per-second for chat, RAG, vision, and voice.

Predictable Cost & Control
Own the capacity you use. No per-token surprises; your data stays on your hardware.

NVIDIA GPU-First Architecture
Single-CPU, multi-GPU layouts validated for thermals, power, and airflow—ready to scale.

ECC Memory & NVMe Path
256–2,048 GB ECC and NVMe/U.2 pools keep long contexts, embeddings, and jobs in fast storage.

Pro Build & Burn-In
Proprietary 57-point assembly, BIOS/BMC hardening, and 48 h CPU/GPU/mem/disk stress with a benchmark report.

Priority Care
NBD pickup/return (where available), rapid diagnostics, remote assist, and parts SLAs to keep you online.
We Got You Covered
Low-latency performance, data sovereignty, and predictable costs—backed by pro build standards and responsive after-sale care.

Low-Latency AI Performance
GPU-accelerated designs deliver stable tokens-per-second for chat, RAG, vision, and voice.

Predictable Cost & Control
Own the capacity you use. No per-token surprises; your data stays on your hardware.

NVIDIA GPU-First Architecture
Single-CPU, multi-GPU layouts validated for thermals, power, and airflow—ready to scale.

ECC Memory & NVMe Path
256–2,048 GB ECC and NVMe/U.2 pools keep long contexts, embeddings, and jobs in fast storage.

Pro Build & Burn-In
Proprietary 57-point assembly, BIOS/BMC hardening, and 48 h CPU/GPU/mem/disk stress with a benchmark report.

Priority Care
NBD pickup/return (where available), rapid diagnostics, remote assist, and parts SLAs to keep you online.
Contact Us
Contact Us
Contact Us
Get in Touch with Us
Have a question? We're always here to help.
Key Account Manager
+6012 627 2280
Key Account Manager
+6012 627 2280
Key Account Manager
+6012 627 2280
Request for Quotation
business[@]emarque.co
Request for Quotation
business[@]emarque.co
Request for Quotation
business[@]emarque.co






FAQs
FAQs
FAQs
Frequently asked questions
What is the best AI workstation in Malaysia for on-prem inference?
An AI workstation with a Ryzen 9 or Threadripper 9000 CPU, NVIDIA RTX 5080/5090 (or RTX 6000 Pro), 128–512 GB ECC RAM, and NVMe storage delivers low-latency on-prem inference for LLMs and vision. Choose Linux (Ubuntu) or Windows based on your team.
Should I buy an on-prem AI server or use cloud AI in Malaysia?
On-prem AI servers give data sovereignty, predictable costs (no per-token/egress fees), and lower latency on local networks. Cloud is quick to start, but Malaysian firms handling sensitive data often prefer in-house GPU systems.
Which GPUs and CPUs are recommended for an on-prem AI system?
For single-GPU workstations: RTX 5080/5090 with Ryzen 9. For department servers: RTX 6000 Pro (Blackwell-class) with Threadripper 9000. For enterprise: AMD EPYC with latest NVIDIA data-center GPUs (Q3 2025), multi-GPU ready.
Can an AI workstation run major LLM models locally?
Yes. Systems with sufficient VRAM run Meta Llama 3/3.1/3.2/3.3, DeepSeek V3/R1/Coder/Math, and OpenAI GPT-OSS 20B/120B for private chat, RAG, code, and analytics—without sending data to the cloud.
What OS and networking are ideal for an on-prem AI build in Malaysia?
Ubuntu 24.04 LTS or Windows (Server/11 Pro) are both supported. For performance and scale, use NVMe storage and 10/25 GbE networking between workstation, storage, and edge/gateway.
What is the best AI workstation in Malaysia for on-prem inference?
An AI workstation with a Ryzen 9 or Threadripper 9000 CPU, NVIDIA RTX 5080/5090 (or RTX 6000 Pro), 128–512 GB ECC RAM, and NVMe storage delivers low-latency on-prem inference for LLMs and vision. Choose Linux (Ubuntu) or Windows based on your team.
Should I buy an on-prem AI server or use cloud AI in Malaysia?
On-prem AI servers give data sovereignty, predictable costs (no per-token/egress fees), and lower latency on local networks. Cloud is quick to start, but Malaysian firms handling sensitive data often prefer in-house GPU systems.
Which GPUs and CPUs are recommended for an on-prem AI system?
For single-GPU workstations: RTX 5080/5090 with Ryzen 9. For department servers: RTX 6000 Pro (Blackwell-class) with Threadripper 9000. For enterprise: AMD EPYC with latest NVIDIA data-center GPUs (Q3 2025), multi-GPU ready.
Can an AI workstation run major LLM models locally?
Yes. Systems with sufficient VRAM run Meta Llama 3/3.1/3.2/3.3, DeepSeek V3/R1/Coder/Math, and OpenAI GPT-OSS 20B/120B for private chat, RAG, code, and analytics—without sending data to the cloud.
What OS and networking are ideal for an on-prem AI build in Malaysia?
Ubuntu 24.04 LTS or Windows (Server/11 Pro) are both supported. For performance and scale, use NVMe storage and 10/25 GbE networking between workstation, storage, and edge/gateway.
What is the best AI workstation in Malaysia for on-prem inference?
An AI workstation with a Ryzen 9 or Threadripper 9000 CPU, NVIDIA RTX 5080/5090 (or RTX 6000 Pro), 128–512 GB ECC RAM, and NVMe storage delivers low-latency on-prem inference for LLMs and vision. Choose Linux (Ubuntu) or Windows based on your team.
Should I buy an on-prem AI server or use cloud AI in Malaysia?
On-prem AI servers give data sovereignty, predictable costs (no per-token/egress fees), and lower latency on local networks. Cloud is quick to start, but Malaysian firms handling sensitive data often prefer in-house GPU systems.
Which GPUs and CPUs are recommended for an on-prem AI system?
For single-GPU workstations: RTX 5080/5090 with Ryzen 9. For department servers: RTX 6000 Pro (Blackwell-class) with Threadripper 9000. For enterprise: AMD EPYC with latest NVIDIA data-center GPUs (Q3 2025), multi-GPU ready.
Can an AI workstation run major LLM models locally?
Yes. Systems with sufficient VRAM run Meta Llama 3/3.1/3.2/3.3, DeepSeek V3/R1/Coder/Math, and OpenAI GPT-OSS 20B/120B for private chat, RAG, code, and analytics—without sending data to the cloud.
What OS and networking are ideal for an on-prem AI build in Malaysia?
Ubuntu 24.04 LTS or Windows (Server/11 Pro) are both supported. For performance and scale, use NVMe storage and 10/25 GbE networking between workstation, storage, and edge/gateway.