NVIDIA GeForce GTX Titan X 12GB GDDR5 Pascal Graphics Card 900-1G611-2500-000, Price For Sale – Used

Description

The NVIDIA GeForce GTX Titan X 12GB GDDR5 Pascal Graphics Card is a powerhouse built for extreme gaming and high-performance workloads. With its 12GB GDDR5 memory, Pascal architecture, and exceptional processing power, it remains a top choice for professionals and hardcore gamers alike.

GTX Titan X – Extreme Graphics Performance

Unparalleled Power for Gaming and Rendering

Equipped with 3072 CUDA cores and 12GB of GDDR5 VRAM, the GTX Titan X is capable of handling ultra-high-definition gaming and complex computational tasks with ease.

Advanced Pascal Architecture

Built on NVIDIA’s Pascal architecture, this GPU delivers improved power efficiency, better performance, and smoother graphics rendering compared to its predecessors.

Key Specifications

Why Choose the GTX Titan X?

High-Performance Graphics Rendering

Whether you are gaming at 4K resolution or handling deep learning models, the GTX Titan X provides smooth and efficient performance.

Massive 12GB VRAM for Intensive Workloads

With 12GB of GDDR5 memory, this GPU ensures fast data processing for 3D rendering, video editing, and AI training.

Top Features That Stand Out

• Pascal Architecture for optimized efficiency and performance.
• 12GB of High-Speed GDDR5 Memory for demanding applications.
• 3072 CUDA Cores for advanced processing power.
• Supports 4K Gaming and Multi-Monitor Setups for an immersive experience.
• VR-Ready Performance for next-level virtual reality applications.

Frequently Asked Questions (FAQ)

Q: Can the GTX Titan X handle 4K gaming?
A: Yes, it is designed for 4K gaming and delivers smooth frame rates on high settings.

Q: Does it support VR applications?
A: Absolutely. The GTX Titan X is VR-ready and provides an immersive experience for virtual reality users.

Q: What power supply is recommended for this GPU?
A: A 600W or higher PSU is recommended to ensure stable performance.

Q: Is this GPU good for deep learning?
A: Yes, the high CUDA core count and large VRAM make it a solid option for deep learning and AI workloads.