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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

NVIDIA® Iray® is a user-friendly rendering technology based on physical principles that produces ultra-realistic images suitable for both interactive and batch rendering processes. By utilizing advanced features such as AI denoising, CUDA®, NVIDIA OptiX™, and Material Definition Language (MDL), Iray achieves outstanding performance and exceptional visual quality—significantly faster—when used with the cutting-edge NVIDIA RTX™ hardware. The most recent update to Iray includes RTX support, which incorporates dedicated ray-tracing hardware (RT Cores) and a sophisticated acceleration structure to facilitate real-time ray tracing in various graphics applications. In the 2019 version of the Iray SDK, all rendering modes have been optimized to take advantage of NVIDIA RTX technology. This integration, combined with AI denoising capabilities, allows creators to achieve photorealistic renders in mere seconds rather than taking several minutes. Moreover, leveraging Tensor Cores found in the latest NVIDIA hardware harnesses the benefits of deep learning for both final-frame and interactive photorealistic outputs, enhancing the overall rendering experience. As rendering technology advances, Iray continues to set new standards in the industry.

Description

NVIDIA Magnum IO serves as the framework for efficient and intelligent I/O in data centers operating in parallel. It enhances the capabilities of storage, networking, and communications across multiple nodes and GPUs to support crucial applications, including large language models, recommendation systems, imaging, simulation, and scientific research. By leveraging storage I/O, network I/O, in-network compute, and effective I/O management, Magnum IO streamlines and accelerates data movement, access, and management in complex multi-GPU, multi-node environments. It is compatible with NVIDIA CUDA-X libraries, optimizing performance across various NVIDIA GPU and networking hardware configurations to ensure maximum throughput with minimal latency. In systems employing multiple GPUs and nodes, the traditional reliance on slow CPUs with single-thread performance can hinder efficient data access from both local and remote storage solutions. To counter this, storage I/O acceleration allows GPUs to bypass the CPU and system memory, directly accessing remote storage through 8x 200 Gb/s NICs, which enables a remarkable achievement of up to 1.6 TB/s in raw storage bandwidth. This innovation significantly enhances the overall operational efficiency of data-intensive applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3ds Max Yes 
Adobe Substance 3D Designer Yes 
Adobe Substance 3D Painter Yes 
Apache Spark No 
CATIA Yes 
CUDA No 
Designcenter NX CAD Yes 
Maya Yes 
NVIDIA NetQ No 
NVIDIA virtual GPU No 
Patchwork 3D Yes 
SOLIDWORKS Yes 
iRender Yes 

Integrations

3ds Max No 
Adobe Substance 3D Designer No 
Adobe Substance 3D Painter No 
Apache Spark Yes 
CATIA No 
CUDA Yes 
Designcenter NX CAD No 
Maya No 
NVIDIA NetQ Yes 
NVIDIA virtual GPU Yes 
Patchwork 3D No 
SOLIDWORKS No 
iRender No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/design-visualization/iray/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/magnum-io/

Product Features

Product Features

Data Center Management

Audit Trail No 
Behavior-Based Acceleration No 
Cross Reference System No 
Device Auto Discovery No 
Diagnostic Testing No 
Import / Export Data No 
JCL Management No 
Multi-Platform No 
Multi-User No 
Power Management No 
Sarbanes-Oxley Compliance No 

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