NVIDIA IrayNVIDIA
|
||||||
Related Products
|
||||||
About
Conventional CPUs can no longer cope with the increased demand for computing power. GPU processors exceed the data processing speed of conventional CPUs by 100-200 times. We provide servers that are specifically designed for machine learning and deep learning purposes and are equipped with distinctive features. Modern hardware based on the NVIDIA® GPU chipset, which has a high operation speed. The newest Tesla® V100 cards with their high processing power. Optimized for deep learning software, TensorFlow™, Caffe2, Torch, Theano, CNTK, MXNet™. Includes development tools based on the programming languages Python 2, Python 3, and C++. We do not charge fees for every extra service. This means disk space and traffic are already included in the cost of the basic services package. In addition, our servers can be used for various tasks of video processing, rendering, etc. LeaderGPU® customers can now use a graphical interface via RDP out of the box.
|
About
NVIDIA® Iray® is an intuitive physically based rendering technology that generates photorealistic imagery for interactive and batch rendering workflows. Leveraging AI denoising, CUDA®, NVIDIA OptiX™, and Material Definition Language (MDL), Iray delivers world-class performance and impeccable visuals—in record time—when paired with the newest NVIDIA RTX™-based hardware. The latest version of Iray adds support for RTX, which includes dedicated ray-tracing-acceleration hardware support (RT Cores) and an advanced acceleration structure to enable real-time ray tracing in your graphics applications. In the 2019 release of the Iray SDK, all render modes utilize NVIDIA RTX technology. In combination with AI denoising, this enables you to create photorealistic rendering in seconds instead of minutes. Using Tensor Cores on the newest NVIDIA hardware brings the power of deep learning to both final-frame and interactive photorealistic renderings.
|
|||||
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Anyone wanting a solution providing servers with a GPU for deep machine learning
|
Audience
Professionals who need an intuitive physically based rendering technology to generate photorealistic imagery for rendering workflows
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
€0.14 per minute
Free Version
Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationLeaderGPU
Netherlands
www.leadergpu.com
|
Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/design-visualization/iray/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
3ds Max
Not Supported
Adobe Substance 3D Designer
Not Supported
Adobe Substance 3D Painter
Not Supported
C++
Supported
CATIA
Not Supported
Designcenter NX CAD
Not Supported
MXNet
Supported
Maya
Not Supported
NVIDIA DRIVE
Supported
Patchwork 3D
Not Supported
|
Integrations
3ds Max
Supported
Adobe Substance 3D Designer
Supported
Adobe Substance 3D Painter
Supported
C++
Not Supported
CATIA
Supported
Designcenter NX CAD
Supported
MXNet
Not Supported
Maya
Supported
NVIDIA DRIVE
Not Supported
Patchwork 3D
Supported
|
|||||
|
|
|