The flagship GPU takes aim at AI researchers and data scientists, rather than gamers; Nvidia claims the card "transforms the PC into a supercomputer" allowing faster training and inference of neural networks and enables researchers to experiment with larger neural networks and data sets.
The rest is all deep learning and research-this and research-that marketing non-sense.
After making a sparse appearance across several major online sites, NVIDIA has finally and officially lifted the veil on the TITAN RTX graphics card.
Current thinking about the key hardware specs which could be on offer with the RTX Titan are; a full Turing TU102 GPU (with 4,608 CUDA cores, 288 TMUs, 96 ROPs, plus 576 Tensor cores and 72 RT cores), with 12GB of GDDR6 memory.
The Titan RTX, dubbed fondly by Nvidia as "T-Rex", is based on the same Turing architecture as the firm's RTX 2070, 2080 and bork-prone 2080 Ti GPUs, equipping it with 130 teraflops of deep learning performance and 11 GigaRays of ray-tracing performance. Data analytics are accellerated through the use of open source RAPIDS libraries, which integrate with the most popular data science workflows to help to speed up machine learning.
Whether your workloads consist of AI, real-time ray-traced graphics, next-gen virtual reality and high performance computing, Nvidia is positioning the TITAN RTX as the ideal solution.
The card also includes 24GB of GDDR6 memory - non-ECC, naturally - running at an effective 7,000MHz on a 384-bit bus for 672GB/s of bandwidth.
Incredible performance and memory bandwidth for real-time 8K video editing.
The Titan RTX will cost $2,500, which is over twice the price of the RTX 2080 Ti.
France's Macron mulls security reforms amid massive fuel tax protests
French Interior Minister Christophe Castaner attributed the violence to "specialists in inciting conflict and destruction". Police closed off some of the city's most popular tourist areas as they tried to quell the mayhem in the streets.