April 27, 2024, 9:10 am
Graphics Processing Unit: NVIDIA RTX
NVIDIA RTX is a graphics processing unit (GPU) architecture developed by NVIDIA. It was first released in 2018 with the GeForce RTX 20 series of GPUs. The architecture introduced a number of new features, including real-time ray tracing and deep learning, which made it significantly more powerful than previous GPUs.
Features
- Real-time ray tracing: RTX GPUs can accelerate ray tracing calculations in real time, allowing for more realistic and immersive graphics in games and other applications.
- Deep learning: RTX GPUs can also be used for deep learning, which is a type of artificial intelligence that allows computers to learn from data. This can be used for a variety of applications, such as image recognition and natural language processing.
- Tensor cores: RTX GPUs include dedicated tensor cores, which are designed to accelerate deep learning calculations. Tensor cores are much faster and more efficient than traditional GPU cores, making RTX GPUs ideal for deep learning applications.
- CUDA cores: RTX GPUs also include CUDA cores, which are used for general-purpose computing. CUDA cores are highly parallel, making them ideal for tasks that can be divided into many smaller tasks.
- GDDR6 memory: RTX GPUs use GDDR6 memory, which is the latest and fastest type of graphics memory available. GDDR6 memory is much faster than previous generations of memory, making it ideal for gaming and other applications that require high-performance graphics.
Performance
RTX GPUs offer significantly improved performance over previous generations of GPUs. In gaming, RTX GPUs can deliver up to 2x the performance of GTX 10 series GPUs. In deep learning, RTX GPUs can deliver up to 10x the performance of GTX 10 series GPUs.
Availability
RTX GPUs are available in a variety of form factors, including desktop graphics cards, laptop graphics cards, and cloud-based GPUs. RTX GPUs can be found in a wide range of products, from gaming PCs to workstations to cloud servers.