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NVIDIA

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373 reviews
  • 46 profiles
  • 34 categories
Average star rating
4.3
Serving customers since
1993

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NVIDIA Omniverse

17 reviews

NVIDIA Omniverse™ is an easily extensible, open platform built for virtual collaboration and real-time physically accurate simulation. Creators, designers, researchers, and engineers can connect major design tools, assets, and projects to collaborate and iterate in a shared virtual space. Developers and software providers can also easily build and sell Extensions, Apps, Connectors, and Microservices on Omniverse’s modular platform to expand its functionality.

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NVIDIA Riva

17 reviews

NVIDIA® Riva is a set of GPU-accelerated multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines. Riva includes automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) and is deployable in all clouds, in data centers, at the edge, and on embedded devices. With Riva, organizations can add speech and translation interfaces with large language models (LLMs) and retrieval-augmented generation (RAG) to transform chatbots into engaging, expressive multilingual assistants and avatars.

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Iray

16 reviews

NVIDIA IRAY is physically based rendering technology that generates photorealistic imagery by simulating the physical behavior of light and materials.

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Nvidia AI Enterprise

14 reviews

NVIDIA AI Enterprise is a comprehensive, cloud-native software suite designed to streamline the development and deployment of AI applications across various environments, including on-premises data centers, public clouds, and hybrid infrastructures. Tailored for enterprises, it offers optimized performance, robust security, and enterprise-grade support, enabling organizations to harness the power of AI efficiently and effectively. Key Features and Functionality: - End-to-End AI Workflow Support: Facilitates every stage of AI development, from data preparation and model training to deployment and monitoring, ensuring a seamless AI pipeline. - Cloud-Native Architecture: Provides flexibility to deploy AI applications on-premises, in the cloud, or in hybrid environments, allowing for scalable and adaptable AI solutions. - Enterprise-Grade Reliability: Includes service-level agreements (SLAs and access to NVIDIA AI experts, ensuring dependable support for mission-critical workloads. - Optimized AI Performance: Leverages NVIDIA GPUs to accelerate data processing, model training, and inference, resulting in faster insights and reduced time to market. - Comprehensive Toolset: Incorporates a range of tools and frameworks, such as NVIDIA NeMo for building and customizing large language models, and NVIDIA Triton Inference Server for high-performance inference at scale. Primary Value and Problem Solving: NVIDIA AI Enterprise addresses the complexities and challenges associated with developing and deploying AI solutions in enterprise settings. By offering a unified platform that integrates seamlessly with existing IT infrastructures, it reduces the time and resources required to implement AI initiatives. The suite's optimized performance and scalability enable organizations to process large datasets and deploy AI models efficiently, leading to faster decision-making and innovation. Additionally, its enterprise-grade support and security features ensure that AI applications operate reliably and securely, mitigating risks and enhancing overall business value.

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NVIDIA Chat with RTX

11 reviews

NVIDIA Chat with RTX enables you to create a personalized AI chatbot with advanced localization capabilities.

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NVIDIA Merlin

10 reviews

NVIDIA Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, inference, and deploying to production challenges. Merlin components and capabilities are optimized to support the retrieval, filtering, scoring, and ordering of hundreds of terabytes of data, all accessible through easy-to-use APIs. With Merlin, better predictions, increased click-through rates, and faster deployment to production are within reach.

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VRWorks

6 reviews

VRWorks is a comprehensive suite of APIs, libraries, and engines that enable application and headset developers to create amazing virtual reality experiences.

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Cumulus

5 reviews

Cumulus Networks is leading the transformation of bringing web-scale networking to enterprise cloud. Its network switch, Cumulus Linux, is the only solution that allows you to affordably build and efficiently operate your network like the world's largest data center operators, unlocking vertical network stacks.

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NVIDIA DGX-2

4 reviews

The NVIDIA DGX-2 is a high-performance AI system designed to tackle the most complex artificial intelligence challenges. As the world's first 2 petaFLOPS system, it integrates 16 NVIDIA V100 Tensor Core GPUs, delivering exceptional computational power for large-scale AI projects. This system is engineered to handle extensive training datasets and intricate deep learning models, enabling organizations to accelerate their AI initiatives effectively. Key Features and Functionality: - Exceptional Compute Power: Equipped with 16 NVIDIA V100 Tensor Core GPUs, the DGX-2 offers a total of 512 GB of GPU memory, facilitating the processing of substantial training datasets and complex models. - Revolutionary AI Network Fabric: The NVSwitch networking fabric provides 2.4 terabytes per second (TB/s of bisection bandwidth, enhancing model parallelism and significantly improving data throughput. - Scalable Architecture: Designed with scalability in mind, the DGX-2 supports enterprise-grade AI cloud infrastructure, allowing organizations to expand their AI capabilities as needed. - Integrated AI Expertise: Access to NVIDIA DGXperts, a global team of over 14,000 AI professionals, ensures that users can maximize the value of their DGX investment through expert guidance and support. Primary Value and Problem Solving: The NVIDIA DGX-2 addresses the growing demands of modern AI and deep learning by providing a unified, high-performance platform capable of handling large-scale computations. Its integration of 16 GPUs and advanced networking fabric allows for faster training times and the ability to work with more complex models, reducing the time to insight. By offering a scalable and enterprise-grade solution, the DGX-2 enables organizations to build and deploy AI applications more efficiently, ultimately driving innovation and competitive advantage in their respective fields.

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NVIDIA Reviews

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5
Ankit  P.
AP
Ankit P.
12/14/2025
Validated Reviewer
Review source: Organic

Revolutionary Acceleration for Recommender Systems

I appreciate NVIDIA Merlin for its unprecedented acceleration of the recommender system pipeline. NVTabular dramatically speeds up the data preprocessing and feature engineering stage by leveraging GPUs, turning multi-day tasks into minutes. HugeCTR enables the training of massive deep learning models with billions of parameters by efficiently managing distributed training across multiple GPUs. I also value the seamless production deployment and consistency enabled via Triton Inference Server. Exporting the same feature engineering workflow defined in NVTabular directly onto Triton Inference Server ensures data transformations during serving are identical to those used during training, eliminating 'training-serving skew.' The optimized inference using Triton, complete with the Hierarchical Parameter Server, ensures high throughput and low latency for real-time recommendations. Overall, NVIDIA Merlin not only aids in quick model training but also provides an efficient, consistent path to deploy models in a high-demand, low-latency production environment.
Neha J.
NJ
Neha J.
11/19/2025
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

High Performance and Scalability for Large Language Models

Highly scalable / efficient for big models. Very high performance. Works for GPT style decoder LMs, BERT style encoders etc. The code is public on GitHub, enabling researchers and engineers to modify and extend for their use cases. Integrates with tools like, the Hugging Face “Accelerate” library supports Megatron LM’s parallelism modes
DV
Dharmik V.
10/12/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

Megatron-LM is a framework and a research project which trains AI models like GPT and BERT.

Its scalablity is huge compared to other sources which have tensor layer and also withreducing footprint on each doing and also its perfermonce is too good and its ecosystem is also influenced by LLM. while using it we can easily segreggate the layers,Super easy to impliment and i use it 4 days a week which also has ease of integration with valuable and high end customer support.

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What is NVIDIA?

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Details

Year Founded
1993
Ownership
NVDA