However, it strongly resembles the RTX 2080 Ti, albeit with a lot more memory.
The Titan RTX is aimed at AI researchers, workstation users and gamers with deep pockets.
Previously, Nvidia's consumer-oriented RTX range - the first to be based around the new Turing architecture with its ray tracing RT and deep learning Tensor Core acceleration hardware - topped out at the already-fairly-expensive GeForce RTX 2080 Ti.
NVIDIA has debuted its newest and possibly most powerful GPU, the Titan RTX, today. 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. Statistically, this allows the card to deliver up to 130 teraflops of deep learning performance, and up to 11 GigaRays of real-time ray-tracing performance per second.
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We don't have a hard release date on the Titan RTX as yet, but its live on NVIDIA'a Australian website (where you can also be notified about it) and it has been pegged for release in the USA and Europe by the end of the year.
To that end, the card houses a beastly 24GB of GDDR6 graphics memory, backed by 576 Tensor Cores and 72 Turing ray-tracing (RT) cores.
The price is, as you'd expect, pretty impressive, at $2,499, and the TITAN RTX will begin shipping later this month. For the same price, you could buy two RTX 2080 Ti cards plus the NVLink connector, and still have $20 left for lunch.
Incredible performance and memory bandwidth for real-time 8K video editing. However, RTX Titan cards will be immediately recognisable thanks to their black and gold colour scheme (in properly lit photos) - gold was used in the previous Titan V design.