AI Workstations On-Prem

AI Workstations On-Prem

AI Workstations On-Prem

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

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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

Industry Leading Clients
ESL Faceit Group logo
ESL Faceit Group logo
ESL Faceit Group logo
Malaysia Airlines Logo
Malaysia Airlines Logo
Malaysia Airlines Logo
Wise AI logo
Wise AI logo
Wise AI logo
ExcelForce Msc Berhad logo
ExcelForce Msc Berhad logo
ExcelForce Msc Berhad logo
Vestland Berhad logo
Vestland Berhad logo
Vestland Berhad logo
unipac engineering logo
unipac engineering logo
unipac engineering logo

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.

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Low-Latency AI Performance

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

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Predictable Cost & Control

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

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NVIDIA GPU-First Architecture

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

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ECC Memory & NVMe Path

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

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Pro Build & Burn-In

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

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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.

Logo

Low-Latency AI Performance

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

Logo

Predictable Cost & Control

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

Logo

NVIDIA GPU-First Architecture

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

Logo

ECC Memory & NVMe Path

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

Logo

Pro Build & Burn-In

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

Logo

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.

Logo

Low-Latency AI Performance

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

Logo

Predictable Cost & Control

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

Logo

NVIDIA GPU-First Architecture

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

Logo

ECC Memory & NVMe Path

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

Logo

Pro Build & Burn-In

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

Logo

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

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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.