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features
design
support

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Description

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.

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

Alibaba Cloud Anti-Bot Service Yes 
Apache Spark No 
Aviz Networks Yes 
Broxi AI Yes 
Candera CGI Studio Yes 
EyeFlow Yes 
Fiddler AI Yes 
FlashBlade//S Yes 
Graymatics Yes 
GreenNode Yes 
Jamba Yes 
Magic Bullet Yes 
Mitutoyo AI INSPECT Yes 
NVIDIA Air Yes 
Naptha Yes 
Phi-4-mini-flash-reasoning Yes 
SQream Yes 
VerifyAX Yes 
Voicy.ai Yes 
einfochips Yes 

Integrations

Alibaba Cloud Anti-Bot Service No 
Apache Spark Yes 
Aviz Networks No 
Broxi AI No 
Candera CGI Studio No 
EyeFlow No 
Fiddler AI No 
FlashBlade//S No 
Graymatics No 
GreenNode No 
Jamba No 
Magic Bullet No 
Mitutoyo AI INSPECT No 
NVIDIA Air No 
Naptha No 
Phi-4-mini-flash-reasoning No 
SQream No 
VerifyAX No 
Voicy.ai No 
einfochips 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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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/self-driving-cars/drive-platform/software/

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 

Alternatives

Alternatives