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NVIDIA

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337 reviews
  • 44 profiles
  • 31 categories
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4.3
Serving customers since
1993
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RAPIDS

1 review

The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incubated by NVIDIA® based on extensive hardware and data science science experience. RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar dataframe API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.

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Bright Cluster Manager

1 review

Bright Computing provides comprehensive software solutions for provisioning and managing HPC clusters, Hadoop clusters, and OpenStack private clouds in your data center or in the cloud.

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NVIDIA Morpheus

1 review

NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. Morpheus incorporates AI to reduce the time and cost associated with identifying, capturing, and acting on threats, bringing a new level of security to the data center, cloud, and edge. Morpheus also extends human analysts’ capabilities with generative AI by automating real-time analysis and responses, producing synthetic data to train AI models that identify risks accurately, and run what-if scenarios

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RTX Server

1 review

Achieve RTX-accelerated performance on any device, anywhere, with NVIDIA RTX™ Server, a highly flexible reference design that combines high-end NVIDIA® Quadro RTX™ 6000 and 8000 GPUs with NVIDIA virtual GPU (vGPU) software to deliver exceptional compute power. With a range of validated solutions, from virtualization to collaborative design with NVIDIA Omniverse™, RTX Server enables every professional to do their best work wherever they are—at a fraction of the cost, space, and power of CPU-based solutions.

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NVIDIA DGX-1

1 review

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NVIDIA Triton Inference Server

0 reviews

Run inference on trained machine learning or deep learning models from any framework on any processor—GPU, CPU, or other—with NVIDIA Triton Inference Server™. Part of the NVIDIA AI platform and available with NVIDIA AI Enterprise, Triton Inference Server is open-source software that standardizes AI model deployment and execution across every workload.

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NVIDIA Reviews

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Star Rating
207
111
22
3
5
LH
Leon H.
06/19/2020
Validated Reviewer
Review source: G2 invite
Incentivized Review

PhysX does the trick!

Scalable, can run on GPU or multi-core CPU
Mahsa N.
MN
Mahsa N.
Intern Architect at Space Craft
12/25/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Quick realistic renderer

I’ve used Mental Ray in 3Ds Max couple of years ago.Although it was not as realistic as V-Ray, it was faster and easier to work with. Most of the time I’d prefer to use it because of it’s conveniency.
SP
sam p.
11/25/2019
Validated Reviewer
Review source: Seller invite

merges the ease of use of console with the power of pc

Using shadow play is always there ready waiting for you when you need it

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Santa Clara, CA

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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.

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Year Founded
1993
Ownership
NVDA