AI Workstations & Deep Learning PCs

AI 1.2 – Intel Core Ultra 9 285K & 2X RTX 5090 32GB
4,013,000.00
  • Intel Core Ultra 9 Processor 285K Desktop Processor
  • 2X ZOTAC GAMING GeForce RTX 5090 SOLID 32GB Graphics Card
  • Samsung 9100 PCIe 5.0 NVMe SSD 1TB
  • Asus ProArt Z890-Creator Wifi DDR5 Full-Atx Motherboard
  • Super Flower Leadex Titanium 1600W Power Supply PSU
  • Cooler Master HAF 700 EVO ARGB Full-Tower ATX Case
  • Corsair Vengeance 192GB (4x48GB) 6000MHz DDR5 RAM
AI 1.1 – Intel Core i9 14900K & 2X RTX 4090 24GB
2,100,000.00
  • Intel Core i9 14900K Desktop Processor
  • 2X ZOTAC GAMING GeForce RTX 4090 Trinity 24GB Graphics Card (Used)
  • Lexar NM790 1TB NVMe M.2 2280 PCIe Gen 4×4 SSD
  • Asus ProArt Z790-Creator Wifi DDR5 Full-Atx Motherboard
  • Super Flower Leadex Titanium 1600W Power Supply PSU
  • DarkFlash DY470 Tempered Glass ATX PC Case
  • Corsair Vengeance 96GB (2x48GB) 6000MHz DDR5 RAM
AI 1.0 – Intel Core i9 14900K & 2X RTX 3090 24GB
1,300,000.00
  • Intel Core i9 14900K Desktop Processor
  • 2X ZOTAC GAMING GeForce RTX 3090 Trinity 24GB Graphics Card (Used)
  • Lexar NM790 1TB NVMe M.2 2280 PCIe Gen 4×4 SSD
  • Asus ProArt Z790-Creator Wifi DDR5 Full-Atx Motherboard
  • Super Flower Leadex Titanium 1600W Power Supply PSU
  • Cooler Master HAF 700 Black ATX PC Casing
  • Crucial Pro 32GB Kit (16GBx2) 6000MHz DDR5 RAM

Powerful AI Workstations & Deep Learning PCs in Pakistan

Building and running Artificial Intelligence models requires a massive amount of computing power. A standard gaming PC cannot handle the extreme workloads needed for machine learning (ML) and deep learning. Whether you are training Large Language Models (LLMs), running local inference, or generating high-resolution images with Stable Diffusion, you need a dedicated AI workstation. Our dual-GPU systems give you the speed and stability to run heavy software like PyTorch and TensorFlow without system crashes or out-of-memory errors. Also checkout our gaming pc, graphic designing and  3D Modelling PCs.

Hardware Built for Machine Learning and LLMs

We design our AI workstations around the specific hardware entities that data scientists and developers need most:

  • Massive VRAM (Graphics Memory): VRAM is the most important factor for AI. If your model is larger than your graphics card memory, it will not run. That is why our AI PCs feature dual-GPU setups like 2x RTX 5090 (64GB total VRAM) or 2x RTX 3090/4090 (48GB total VRAM), giving you the massive memory pool needed to load huge datasets and language models locally.
  • Tensor Cores for AI Processing: Your GPU does the heavy lifting for AI. Our workstations use the latest NVIDIA graphics cards loaded with high-speed Tensor Cores, which are specially designed to speed up model training and complex mathematical calculations.
  • Extreme RAM and Power Delivery: AI workloads push your system to the absolute limit. We equip these machines with massive amounts of DDR5 RAM (up to 192GB) to prevent bottlenecks. Because dual-GPU setups draw huge amounts of electricity, we use top-tier 1600W Titanium power supplies and premium cooling to stop thermal throttling during days-long training sessions.

Choose Your AI Setup

We offer scalable, multi-GPU systems to match your specific dataset size and research needs:

  • AI 1.2 (The Ultimate Researcher): Unmatched power for massive models. Features the Intel Core Ultra 9 285K, an incredible 192GB of RAM, and dual RTX 5090s. Built for enterprise-level model training and heavy data science pipelines.
  • AI 1.1 (High-End Developer): The perfect balance for advanced deep learning. Powered by an i9 14900K, 96GB of RAM, and dual RTX 4090s for blazing-fast calculations and local AI generation.
  • AI 1.0 (Starter Workstation): The best entry point for students and researchers. Uses an i9 14900K and dual RTX 3090s, offering the highly cost-effective 48GB VRAM pool you need to start training models without renting cloud servers.