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What is NVIDIA Air?

The complexity of data center infrastructure is increasing, leading to a demand for sophisticated solutions that simplify network management tasks. NVIDIA Air allows users to obtain cloud-scale efficiency by creating accurate replicas of real data center environments. This groundbreaking tool facilitates the modeling of data centers with full software functionalities, thus producing a digital twin. By enabling the simulation, validation, and automation of changes and updates, organizations can enhance and streamline their network operations. Users have the capability to generate one-to-one virtual duplicates of data centers that include a variety of switches and servers. The automation of critical patches and security updates significantly boosts confidence in deployment strategies. Moreover, sharing these simulations with colleagues enhances training and knowledge transfer among team members. The platform offers free access to essential NVIDIA networking software through Air, which functions effortlessly in the cloud. It also accommodates simulations of Cumulus Linux and SONiC operating systems, along with an extensive toolkit for network operations known as NetQ, providing users with vital resources to efficiently manage their networks. This functionality not only improves operational effectiveness but also equips teams with the agility to innovate and respond to ongoing changes in the digital landscape. As a result, businesses can remain competitive while navigating the challenges of modern technology.

What is NVIDIA AI Enterprise?

NVIDIA AI Enterprise functions as the foundational software for the NVIDIA AI ecosystem, streamlining the data science process and enabling the creation and deployment of diverse AI solutions, such as generative AI, visual recognition, and voice processing. With more than 50 frameworks, numerous pretrained models, and a variety of development resources, NVIDIA AI Enterprise aspires to elevate companies to the leading edge of AI advancements while ensuring that the technology remains attainable for all types of businesses. As artificial intelligence and machine learning increasingly become vital parts of nearly every organization's competitive landscape, managing the disjointed infrastructure between cloud environments and in-house data centers has surfaced as a major challenge. To effectively integrate AI, it is essential to view these settings as a cohesive platform instead of separate computing components, which can lead to inefficiencies and lost prospects. Therefore, organizations should focus on strategies that foster integration and collaboration across their technological frameworks to fully exploit the capabilities of AI. This holistic approach not only enhances operational efficiency but also opens new avenues for innovation and growth in the rapidly evolving AI landscape.

Media

Media

Integrations Supported

NVIDIA DRIVE
SONiC

Integrations Supported

Accenture AI Refinery
Azure Marketplace
Cryptiva
LaunchX
LiteLLM
Maia
Mastek icxPro
NVIDIA AI Data Platform
NVIDIA Base Command Manager
NVIDIA Blueprints
NVIDIA DGX Cloud
NVIDIA Llama Nemotron
NVIDIA Morpheus
NVIDIA NIM
NVIDIA TensorRT
NetsPresso
Nurix
Rendered.ai

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/networking/ethernet-switching/air/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/data-center/products/ai-enterprise/

Categories and Features

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Development

Not specified

AI Infrastructure

Not specified

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