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Ratings and Reviews 0 Ratings
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What is NVIDIA Iray?
NVIDIA® Iray® is an intuitive rendering solution grounded in physical laws that generates highly realistic visuals, making it ideal for both real-time and batch rendering tasks. With its cutting-edge features like AI denoising, CUDA®, NVIDIA OptiX™, and Material Definition Language (MDL), Iray delivers remarkable speed and exceptional visual fidelity when paired with the latest NVIDIA RTX™ hardware. The newest update to Iray now supports RTX, enabling the use of dedicated ray-tracing technology (RT Cores) and an intricate acceleration structure to allow real-time ray tracing in a range of graphic applications. In the 2019 iteration of the Iray SDK, all rendering modes have been fine-tuned to fully exploit NVIDIA RTX capabilities. This integration, alongside the AI denoising functionalities, empowers artists to reach photorealistic results in just seconds, significantly reducing the time usually required for rendering. Additionally, by utilizing the Tensor Cores present in the newest NVIDIA devices, the advantages of deep learning are harnessed for both final-frame and interactive photorealistic outputs, enhancing the entire rendering process. As the landscape of rendering technology evolves, Iray is committed to pushing boundaries and establishing new benchmarks in the field. This relentless pursuit of innovation ensures that Iray remains at the forefront of rendering solutions for artists and developers alike.
What is CUDA?
CUDA® is an advanced parallel computing platform and programming framework developed by NVIDIA that facilitates the execution of general computing tasks on graphics processing units (GPUs). By harnessing the power of CUDA, developers can greatly improve the performance of their applications by taking advantage of the robust capabilities offered by GPUs.
In GPU-accelerated applications, the CPU manages the sequential aspects of the workload, where it performs optimally on single-threaded tasks, while the more intensive compute tasks are executed in parallel across numerous GPU cores. When utilizing CUDA, programmers can write code in familiar programming languages, including C, C++, Fortran, Python, and MATLAB, allowing for the integration of parallelism through a straightforward set of specialized keywords.
The NVIDIA CUDA Toolkit provides developers with all necessary resources to build applications that leverage GPU acceleration. This all-encompassing toolkit includes GPU-accelerated libraries, a streamlined compiler, various development tools, and the CUDA runtime, simplifying the process of optimizing and deploying high-performance computing solutions. Furthermore, the toolkit's flexibility supports a diverse array of applications, from scientific research to graphics rendering, demonstrating its capability to adapt to various domains and challenges in computing. With the continual evolution of the toolkit, developers can expect ongoing enhancements to support even more innovative uses of GPU technology.
Integrations Supported
3ds Max
Amazon EC2 G4 Instances
C
CATIA
Cody
Coverity Static Analysis
Dataoorts GPU Cloud
Designcenter NX CAD
JarvisLabs.ai
MATLAB
Integrations Supported
3ds Max
Amazon EC2 G4 Instances
C
CATIA
Cody
Coverity Static Analysis
Dataoorts GPU Cloud
Designcenter NX CAD
JarvisLabs.ai
MATLAB
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
www.nvidia.com/en-us/design-visualization/iray/
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
developer.nvidia.com/cuda-zone
Categories and Features
Categories and Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development