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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

The NVIDIA HPC Software Development Kit (SDK) offers a comprehensive suite of reliable compilers, libraries, and software tools that are crucial for enhancing developer efficiency as well as the performance and adaptability of HPC applications. This SDK includes C, C++, and Fortran compilers that facilitate GPU acceleration for HPC modeling and simulation applications through standard C++ and Fortran, as well as OpenACC® directives and CUDA®. Additionally, GPU-accelerated mathematical libraries boost the efficiency of widely used HPC algorithms, while optimized communication libraries support standards-based multi-GPU and scalable systems programming. The inclusion of performance profiling and debugging tools streamlines the process of porting and optimizing HPC applications, and containerization tools ensure straightforward deployment whether on-premises or in cloud environments. Furthermore, with compatibility for NVIDIA GPUs and various CPU architectures like Arm, OpenPOWER, or x86-64 running on Linux, the HPC SDK equips developers with all the necessary resources to create high-performance GPU-accelerated HPC applications effectively. Ultimately, this robust toolkit is indispensable for anyone looking to push the boundaries of high-performance computing.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace No 
Artemis Yes 
CapametriX Yes 
Centific Yes 
Cosmian Yes 
FriendliAI Yes 
Google Cloud Confidential VMs Yes 
GrackerAI Yes 
GradedBlue Yes 
Graymatics Yes 
Hydro66 Yes 
Ludeo Yes 
NVIDIA Onyx Yes 
NVIDIA TensorRT Yes 
OpenLIT Yes 
Polargrid Yes 
SAP Internet of Things Yes 
YeeroAI Yes 
Zappit AI Yes 
harrison.ai Yes 

Integrations

AWS Marketplace Yes 
Artemis No 
CapametriX No 
Centific No 
Cosmian No 
FriendliAI No 
Google Cloud Confidential VMs No 
GrackerAI No 
GradedBlue No 
Graymatics No 
Hydro66 No 
Ludeo No 
NVIDIA Onyx No 
NVIDIA TensorRT No 
OpenLIT No 
Polargrid No 
SAP Internet of Things No 
YeeroAI No 
Zappit AI No 
harrison.ai 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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

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

Customer Support

Business Hours No 
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 No 
Live Training (Online) No 
In Person No 

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

developer.nvidia.com/hpc-sdk

Product Features

Product Features

HPC

Alternatives

Alternatives

CUDA Reviews

CUDA

NVIDIA