Gpu nvidia rtx

NVIDIA RTX graphics card, a line of GPUs based on Turing and later architectures, revolutionized the market with real-time ray tracing and artificial intelligence.

About this subject

The NVIDIA RTX series, launched in 2018, represents a technological leap in graphics processing by introducing dedicated cores for ray tracing (RT Cores) and tensor cores for artificial intelligence acceleration. These cards are widely used by gamers, content creators, and professionals in fields such as architecture, engineering, and data science.

The Turing architecture, the first to feature RT Cores, enabled cinematic-quality lighting, reflections, and shadows to be simulated in real time. With the release of the RTX 30 (Ampere) and RTX 40 (Ada Lovelace) series, performance in ray-traced games increased dramatically, along with features like DLSS (Deep Learning Super Sampling) that uses AI to enhance frame rates.

In the market, NVIDIA RTX faces direct competition from AMD Radeon RX, but maintains leadership in proprietary technologies such as NVLink for multi-GPU setups and CUDA for parallel computing. Models like the RTX 4090 have become benchmarks for workstations and 4K gaming at high refresh rates.

Interestingly, the RTX suffix originally stood for “Ray Tracing Texel eXtreme”, though the company now treats it as a brand. The line also popularized monitors with G-Sync and 144 Hz or higher refresh rates, solidifying the NVIDIA ecosystem.

Frequently Asked Questions

What does RTX stand for in NVIDIA graphics cards?

RTX originally stood for Ray Tracing Texel eXtreme, but it is now a brand identifying GPUs with real-time ray tracing support and tensor cores for AI.

What is the difference between RTX and GTX?

RTX cards have dedicated RT cores for ray tracing and tensor cores for DLSS and other AI tasks, while GTX cards lack these specialized cores.

What are the professional applications of RTX GPUs?

Beyond gaming, they are used in 3D rendering, video editing, CAD modeling, scientific simulations, and machine learning training, thanks to CUDA and software support like Blender and Adobe.