Deep Learn Pro PCs

CPU: AMD Ryzen 9 7900X
  • 12 Cores / 24 Threads, up to 5.6GHz
  • High-performance CPU for parallel workloads
  • Ideal for data preprocessing, simulations & ML pipelines
GPU: NVIDIA GeForce RTX 5080 16GB
  • 16GB GDDR6X VRAM for high-end gaming & creative workloads
  • Smooth 1440p Ultra and strong 4K gaming performance
  • DLSS support for higher FPS and efficiency
  • Fast rendering for video editing & 3D work
RAM: 64GB DDR5 6400MHz
  • High-speed and high-capacity memory
  • Smooth handling of large datasets and training workloads
Motherboard: ASUS ProArt X670E-CREATOR WIFI
  • Creator-grade motherboard with PCIe Gen5 support
  • Multi-GPU ready with strong connectivity
  • Built-in WiFi and high-speed networking
Cabinet: Fractal Design Define 7 XL
  • Spacious case for multi-GPU setups
  • Excellent airflow and build quality

This PC Is Perfect For

AI Researchers, Deep Learning Engineers, Data Scientists, Large Model Training, Multi-GPU Workloads and Advanced AI Projects.

Deep Learn Pro PC – Advanced AI & Deep Learning Workstation

The Deep Learn Pro PC is a high-end workstation built for professionals working on machine learning, deep learning, and AI model training. It is designed to handle large datasets, complex models, and long training sessions with stable performance.



Powerful Multi-Core Performance

Powered by the AMD Ryzen 9 7900X processor, this system delivers excellent performance for:

  • Data preprocessing & parallel computing
  • Running multiple development environments
  • Heavy multitasking workflows


High-End GPU Acceleration

With the NVIDIA RTX 5080 16GB graphics card, you get:

  • Faster model training
  • Advanced CUDA & Tensor core acceleration
  • Efficient handling of large neural networks

Perfect for TensorFlow, PyTorch, and deep learning frameworks.



Massive Multitasking Power

  • 64GB DDR5 6400MHz RAM for handling large datasets and complex models
  • Smooth performance across multiple applications


Ultra-Fast Storage Setup

  • 2TB + 4TB Gen4 NVMe SSDs for lightning-fast data access
  • Faster dataset loading and seamless workflow performance


Professional & Scalable Build

  • ASUS ProArt X670E-CREATOR WIFI Motherboard with advanced connectivity
  • Supports future upgrades, including multi-GPU setups


Reliable Power & Cooling

  • Corsair RM1000e 80+ Gold PSU for stable power delivery
  • Arctic Liquid Freezer II 360 AIO for efficient cooling


Premium Design

  • Fractal Design Define 7 XL Cabinet with spacious layout and excellent airflow
  • Clean and professional look for workstation environments

CPU – High-core performance for parallel computing

Motherboard –ASUS ProArt X670E-CREATOR WIFI

GPU – NVIDIA GeForce RTX 5080 16GB

RAM – 64GB DDR5 for large dataset handling

Storage –Dual NVMe SSDs for ultra-fast workflows

PSU – Corsair RM1000e 80 Plus Gold

Cabinet – Fractal Design Define 7 XL

Cooling – Arctic Liquid Freezer II 360 AIO

Shipping & Delivery Policy

Get Right PC ensures safe and timely delivery of all orders.

  • Shipping Method: Orders are sent via registered courier services or Speed Post.

  • Dispatch Time: Orders are dispatched within 2 working days of confirmation and payment, or as per the timeline shared at purchase.

  • Responsibility: Our responsibility ends once the shipment is handed over to the courier/postal service. Delivery delays by them are beyond our control.

  • Delivery Address: Orders are delivered to the registered billing address unless another address is confirmed.

  • Transit Damage: We pack products carefully but are not liable for damage during transit.

  • Payments: We use secure payment gateways and accept all major debit cards, credit cards, and online payment methods.

    Service Delivery Policy

    Confirmation of service or digital delivery will be sent to your registered email ID.

    Customer Support:
    📞 +91 9910455434 (Mon–Sat, 11:00 AM – 7:00 PM)
    📧 info@getrightpc.com


    Shipping Charges

    Shipping charges are based on the total order weight.
    Combined shipping is applied when multiple items are ordered together. For multiple quantities of the same product, shipping may be charged per unit depending on weight.
    The final shipping cost is automatically calculated at checkout.

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