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NVIDIA Merlin Reviews & Product Details

Verified User in Information Technology and Services
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Mid-Market(51-1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about NVIDIA Merlin?

It accelerates recommender systems on nvidia GPUs. Process datasets that don't fit within the GPU or CPU memory by streaming from the disk. Review collected by and hosted on G2.com.

What do you dislike about NVIDIA Merlin?

Slow inference on a single tower, also concerns regarding security Review collected by and hosted on G2.com.

What problems is NVIDIA Merlin solving and how is that benefiting you?

VIDIA Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale Review collected by and hosted on G2.com.

NVIDIA Merlin Overview

What is NVIDIA Merlin?

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.

NVIDIA Merlin Details
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Product Description

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.


Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,318,432 Twitter followers
LinkedIn® Page
www.linkedin.com
36,197 employees on LinkedIn®
Ownership
NVDA
Total Revenue (USD mm)
$16,675
Description

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.

Recent NVIDIA Merlin Reviews

AS
Ashish S.Enterprise (> 1000 emp.)
5.0 out of 5
"Nvidia Merlin"
High performing recommendors at scale for developers.
Sandeep K.
SK
Sandeep K.Mid-Market (51-1000 emp.)
4.5 out of 5
"Good platform to develop recommender system"
Merlin's processing speed is outstanding. We can utilize the GPU to process large datasets and perform many experiments quickly.
Gagan V.
GV
Gagan V.Small-Business (50 or fewer emp.)
5.0 out of 5
"The fabulous system to train mobels"
Its components are so optimized to handle terabytes of data.
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NVIDIA Merlin Media

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4 out of 5 Total Reviews for NVIDIA Merlin

4.8 out of 5
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NVIDIA Merlin Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
MOHD ARSH A.
MA
Open Dale Group
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about NVIDIA Merlin?

NVIDIA Merlin is basically suitable for the applications requiring large-scale personalization, such as e-commerce (online shopping platforms), streaming services(Netflix, Spotify, YouTube) and social media platforms (Facebook, Instagram, WhatsApp). By manipulated GPU acceleration, it significantly decreases the time for data preparation and model training while enabling the deployment of real-time recommendations. Review collected by and hosted on G2.com.

What do you dislike about NVIDIA Merlin?

Nivdia Merlin is the leader of GPU's but the cost is too much higher as compared to AMD's GPU's. Review collected by and hosted on G2.com.

What problems is NVIDIA Merlin solving and how is that benefiting you?

NVIDIA Merlin addresses the complication of building and establish recommendation systems by providing a suite of GPU-accelerated tools. The streamline processes from data preparation to model inference. Traditional recommender systems often face challenges with processing vast datasets, engineering features, and managing computational resources, especially as data grows to terabyte scale. NVIDIA Merlin's components, like NV Tabular, simplify pre-processing and feature engineering by support GPUs to handle these massive datasets efficiently. This results in significant time savings and scalability, as users can now focus on designing their recommendation logic rather than the complexity of data contend. Review collected by and hosted on G2.com.

Sandeep K.
SK
senior software engineer
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about NVIDIA Merlin?

Merlin's processing speed is outstanding. We can utilize the GPU to process large datasets and perform many experiments quickly. Review collected by and hosted on G2.com.

What do you dislike about NVIDIA Merlin?

The documentation and use cases are limited, which will be difficult during the initial days. Review collected by and hosted on G2.com.

What problems is NVIDIA Merlin solving and how is that benefiting you?

We train large time series data with different batch sizes. NVIDIA Merlin helped us to train and build models quicky. Review collected by and hosted on G2.com.

AS
Analyst
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about NVIDIA Merlin?

High performing recommendors at scale for developers. Review collected by and hosted on G2.com.

What do you dislike about NVIDIA Merlin?

Still Implementing and testing features of this Review collected by and hosted on G2.com.

What problems is NVIDIA Merlin solving and how is that benefiting you?

Solving complex machine learning problems with high rate of recommendation at scale. Which includes libraries, methods and tools.

Recommendation includes feature engineering, training & inference. Review collected by and hosted on G2.com.

Gagan V.
GV
System Analyst
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about NVIDIA Merlin?

Its components are so optimized to handle terabytes of data. Review collected by and hosted on G2.com.

What do you dislike about NVIDIA Merlin?

It's a NVIDIA SDK which don't gives you any chance to disappoint. Review collected by and hosted on G2.com.

What problems is NVIDIA Merlin solving and how is that benefiting you?

NVIDIA Merlin helps a lot in AI workflow, most important in prediction in our work. Review collected by and hosted on G2.com.