Nvidia releases Titan RTX with 72 RT cores and 24 GB GDDR6 at $2,499
Nvidia today announces the Titan RTX; the new top model in the Turing generation. According to Nvidia this puppy offers 130 teraflops of deep learning computing power and 11 gigaray of raytracing.
The press release mentions 576 tensor cores and 72 raytracing cores, slightly more than the RTX 2080 Ti with it's 544 and 68 values respectively. The video memory has doubled to 24 GB gddr6, for a total bandwidth of 672 GB/sThe unit will be based on the TU102 GPU. Two Titan RTX GPUs can be used together due to the presence of a 100 GB/s NVLink connection. The cards have three displayport connections, a single HDMI port and VirtualLink.
The TITAN RTX is very much focused on deep learning developers and AI researchers who work with larger neural networks and data sets, so for gamers, the RTX 2080 Ti is still the premier card.
MONTREAL—Conference on Neural Information Processing Systems—Dec. 3, 2018—NVIDIA today introduced NVIDIA® TITAN RTX™, the world’s most powerful desktop GPU, providing massive performance for AI research, data science and creative applications.
Driven by the new NVIDIA Turing™ architecture, TITAN RTX — dubbed T-Rex — delivers 130 teraflops of deep learning performance and 11 GigaRays of ray-tracing performance.
“Turing is NVIDIA’s biggest advance in a decade – fusing shaders, ray tracing, and deep learning to reinvent the GPU,” said Jensen Huang, founder and CEO of NVIDIA. “The introduction of T-Rex puts Turing within reach of millions of the most demanding PC users — developers, scientists and content creators.”
Ultimate PC GPU
NVIDIA’s greatest leap since the invention of the CUDA® GPU in 2006 and the result of more than 10,000 engineering-years of effort, Turing features new RT Cores to accelerate ray tracing, plus new multi-precision Tensor Cores for AI training and inferencing. These two engines — along with more powerful compute and enhanced rasterization — enable capabilities that will transform the work of millions of developers, designers and artists across multiple industries.
Designed for a variety of computationally demanding applications, TITAN RTX provides an unbeatable combination of AI, real-time ray-traced graphics, next-gen virtual reality and high performance computing. It delivers:
- 576 multi-precision Turing Tensor Cores, providing up to 130 teraflops of deep learning performance.
- 72 Turing RT Cores, delivering up to 11 GigaRays per second of real-time ray-tracing performance.
- 24GB of high-speed GDDR6 memory with 672GB/s of bandwidth — 2x the memory of previous-generation TITAN GPUs — to fit larger models and datasets.
- 100GB/s NVIDIA NVLink® can pair two TITAN RTX GPUs to scale memory and compute.
- Incredible performance and memory bandwidth for real-time 8K video editing.
- VirtualLink™ port provides the performance and connectivity required by next-gen VR headsets.
Built for AI Researchers and Deep Learning Developers
TITAN RTX transforms the PC into a supercomputer for AI researchers and developers. TITAN RTX provides multi-precision Turing Tensor Cores for breakthrough performance from FP32, FP16, INT8 and INT4, allowing faster training and inference of neural networks. It offers twice the memory capacity of previous generation TITAN GPUs, along with NVLink to allow researchers to experiment with larger neural networks and data sets.
Perfect for Data Scientists
A powerful tool for data scientists, TITAN RTX accelerates data analytics with NVIDIA RAPIDS™. RAPIDS open-source libraries integrate seamlessly with the world’s most popular data science workflows to speed up machine learning.
Content Creators Create Their Best Work
TITAN RTX brings the power of real-time ray tracing and AI to creative applications, so 5 million PC-based creators can iterate faster. It also delivers the computational horsepower and memory bandwidth needed for real-time 8K video editing.
Available This Month
TITAN RTX will be available later this month in the U.S. and Europe for $2,499.
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So does this have real NVLink as it was mentioned in the article again, or just "SLI"?
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If my memory keeps well titan x was launched for $1200 2 years ago?
Why the doubled the price on pretty much all cards.....
This is a much bigger card than the Titan X. It also applicable to far more markets and competes with FPGA's that are priced far higher for inferencing. It also technically cannibalizes some of Nvidia's own market (It's 40% cheaper than RTX 6000). Plus it's replacing the Titan V (minus the double precision) not the Titan X.
So does this have real NVLink as it was mentioned in the article again, or just "SLI"?
All Turing NVLink cards support "real" NVLink just the bandwidth is limited in somecases (2080) and the consumer cards don't support TCC mode. This should support TCC, which makes it makes it more useful for professional workloads.
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Is it just me or those 72RT cores on Titan will not be much more capable than 2080ti?
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I don't think they're that much more, article mentions 11 "Gigarays" whereas the info I looked up on the performance for the 2080 Ti has it at 10 billion rays and then the 2080 lands at 8 billion.
https://en.wikipedia.org/wiki/GeForce-20-series
It's a slight increase but it might not add that much more performance wise.
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If my memory keeps well titan x was launched for $1200 2 years ago?
Why they doubled the price on pretty much all cards.....