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.

Key Components & Features
Additional Information
Shipping & Delivery

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

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.