12/5/2018 9:04:01 AM
NVIDIA's new TITAN RTX is a deep learning beast aimed at developers
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App Developer Magazine

NVIDIA's new TITAN RTX is a deep learning beast aimed at developers



Richard Harris Richard Harris in Artificial Intelligence Wednesday, December 5, 2018
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At a conference in Montreal on Neural Information Processing Systems, NVIDIA announced the Turing powered TITAN RTX card, which can deliver 130 Teraflops of Deep Learning Horsepower, and 11 gigarays of ray-tracing performance for use by developers and even the most demanding users.

NVIDIA has just announced the TITAN RTX - dubbed T-Rex, driven by NVIDIA Turing architecture at a conference in Montreal. The new card delivers 130 teraflops of deep learning performance and 11 GigaRays of ray-tracing performance. Jensen Huang, founder and CEO of NVIDIA says, "Turing is NVIDIA’s biggest advance in a decade, fusing shaders, ray tracing, and deep learning to reinvent the GPU. The introduction of T-Rex puts Turing within reach of millions of the most demanding PC users - developers, scientists and content creators."

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.

TITAN RTX Specs

  • 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.

 
TITAN RTX 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.

When can you get the TITAN RTX?

TITAN RTX will be available later this month in the U.S. and Europe for $2,499.


Read more: https://www.nvidia.com/en-us/titan/titan-rtx/

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