CUDA

CUDA

NVIDIA
NVIDIA Iray

NVIDIA Iray

NVIDIA
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About

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a powerful parallel computing platform and programming model

Audience

Professionals who need an intuitive physically based rendering technology to generate photorealistic imagery for rendering workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/cuda-zone

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/design-visualization/iray/

Alternatives

oneAPI

oneAPI

Intel

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA
3Delight

3Delight

Illumination Research
OpenCL

OpenCL

The Khronos Group
NVIDIA DLSS

NVIDIA DLSS

NVIDIA

Categories

Categories

Integrations

3ds Max
AWS Marketplace
Adobe Substance 3D Designer
Amp
Axivion Static Code Analysis
C
C++
Clore.ai
Code Metal
Fortran
JarvisLabs.ai
Maya
NVIDIA Brev
NVIDIA Isaac
NVIDIA Magnum IO
NeevCloud
Python
SOLIDWORKS
Thunder Compute
VMware Private AI Foundation

Integrations

3ds Max
AWS Marketplace
Adobe Substance 3D Designer
Amp
Axivion Static Code Analysis
C
C++
Clore.ai
Code Metal
Fortran
JarvisLabs.ai
Maya
NVIDIA Brev
NVIDIA Isaac
NVIDIA Magnum IO
NeevCloud
Python
SOLIDWORKS
Thunder Compute
VMware Private AI Foundation
Claim CUDA and update features and information
Claim CUDA and update features and information
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