TITAN RTX powers AI, machine learning, and creative
workflows.
The most demanding users need the best tools. TITAN RTX is built on NVIDIAs
Turing GPU architecture and includes the latest Tensor Core and RT Core
technology for accelerating AI and ray tracing. Its also supported by NVIDIA
drivers and SDKs so that developers, researchers, and creators can work faster
and deliver better results.
Start AI Development Now
Train AI models faster with 576 NVIDIA Turing mixed-precision Tensor Cores
delivering 130 TFLOPS of AI performance. Supported by NVIDIAs CUDA-X AI SDK,
including cuDNN, TensorRT, and more than 15 other libraries. Works with all
popular deep learning frameworks and is compatible with NVIDIA GPU Cloud
(NGC).
Accelerate Data Science
Work faster with 4608 NVIDIA Turing CUDA cores
accelerating end-to-end data science workflows. Process huge data sets with 24
GB GDDR6 memory (or 48 GB with NVLink). Get started today with the RAPIDS suite
of libraries for data science, built on NVIDIAs CUDA-X AI SDK. Develop on your
PC and deploy to the data center with ease.
Power Your Creativity
Inspiration doesnt wait. Build huge immersive worlds and stunning characters,
accelerate multi-app workflows, and edit 8K video in real time. 24 GB of memory
and 72 Turing RT cores delivering 11 Gigarays per second enable you to take on
the most demanding projects.
NVIDIA TITAN RTX NVLink Bridge
The TITAN RTX NVLink bridge connects two TITAN RTX cards together over a 100
GB/s interface. The result is an effective doubling of memory capacity to 48 GB,
so that you can train neural networks faster, process even larger datasets, and
work with some of the biggest rendering models.
REVOLUTIONARY PERFORMANCE, POWERED BY TURING
TITAN RTX trains advanced models like ResNet-50 and GNMT up to 4X faster than
Titan Xp. And RAPIDS trains models up to 3X faster than CPUs. Built with
multi-precision Turing Tensor Cores, TITAN RTX delivers breakthrough performance
from FP32, FP16, INT8, and INT4, allowing faster training and inferencing of
neural networks. Equipped with twice the memory capacity of previous-generation
TITAN GPUs and NVIDIA NVLink, TITAN RTX enables researchers and data scientists
to experiment with larger neural networks and datasets than ever before, all on
GPU memory.
Tackle The Most Demanding Creative Workloads
With 72 Turing RT Cores and 24 GB of memory, TITAN RTX renders extra-large
models, supports real-time 8K video editing, and runs complex, multi-application
workflows to enable a smooth and seamless experience.
Specifications
|
Graphics
Processing Clusters |
6 |
|
Texture
Processing Clusters |
36 |
|
Streaming
Multiprocessors |
72 |
|
CUDA
Cores (single precision) |
4608 |
|
Tensor
Cores |
576 |
|
RT
Cores |
72 |
|
Base
Clock (MHz) |
1350
MHz |
|
Boost
Clock (MHz) |
1770
MHz |
|
Memory
Clock |
7000
MHz |
|
Memory
Data Rate |
14
Gbps |
|
L2
Cache Size |
6144
K |
|
Total
Video Memory |
24
GB GDDR6 |
|
Memory
Interface |
384-bit |
|
Total
Memory Bandwidth |
672
GB/s |
|
Texture
Rate (Bilinear) |
510
GigaTexels/sec |
|
Fabrication
Process |
12
nm FFN |
|
Transistor
Count |
18.6
Billion |
|
Connectors
|
3
x DisplayPort , 1 x HDMI, 1 x USB Type-C |
|
OS
Certification |
Windows
7 64-bit, Windows 10 64-bit (April 2018 Update or later),Linux
64-bit |
|
Form
Factor |
Dual
Slot |
|
Power
Connectors |
Two
8-pin |
|
Recommended
Power Supply |
650
Watts |
|
Thermal
Design Power (TDP)1 |
280
Watts |
|
Thermal
Threshold2 |
89
C |
