Amazon SageMaker vs Dell AI Factory with NVIDIA comparison

Amazon Web Services (AWS) and Dell Technologies are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #5 with an average rating of 8.0, while Dell Technologies is ranked #31. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon SageMaker

Read 37 Amazon SageMaker reviews

3,898 Views
3,122 Comparison Views

91% willing to recommend

Dell AI Factory with NVIDIA

61 Views
40 Comparison Views

Amazon SageMaker

Dell AI Factory with NVIDIA

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Executive SummaryUpdated on Mar 23, 2025

Amazon SageMaker and Dell AI Factory with NVIDIA are competitors in the AI sector. Dell AI Factory with NVIDIA appears to have the upper hand due to its robust features and high-performance capabilities.

Features: Amazon SageMaker provides comprehensive machine learning capabilities and integration with AWS services. It offers automated machine learning, making it suitable for a wide range of applications. Dell AI Factory with NVIDIA stands out with its high-performance computing power, custom solutions enabled by NVIDIA GPUs, and optimized hardware solutions for demanding environments.

Ease of Deployment and Customer Service: Dell AI Factory with NVIDIA offers flexible deployment options and provides dedicated support tailored for high-performance environments. Amazon SageMaker integrates smoothly with the AWS ecosystem, providing robust online resources for deployment. Dell's customer service includes personalized support, setting it apart from Amazon's automated solutions.

Pricing and ROI: Amazon SageMaker presents competitive pricing through its pay-as-you-go model, reducing the initial setup cost and attracting cost-conscious buyers. Dell AI Factory with NVIDIA, despite a higher setup cost, delivers strong ROI through its premium, high-performance offerings, appealing to those prioritizing performance.

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon SageMaker

Ranking in AI Development Platforms

5th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

Dell AI Factory with NVIDIA

Ranking in AI Development Platforms

31st

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Educational Organization

11%

Computer Software Company

11%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

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What is your experience regarding pricing and costs for Amazon SageMaker?

Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.

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Comparisons

Databricks vs Amazon SageMaker

Compared 15% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

No data available

Product Reports

Buyer's Guide

Amazon SageMaker

May 2025

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Buyer's Guide

AI Development Platforms

May 2025

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Also Known As

AWS SageMaker, SageMaker

No data available

Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Dell AI Factory with NVIDIA integrates advanced AI capabilities with NVIDIA GPUs, catering to enterprise needs with efficient processing and powerful analytics. This platform is designed to streamline AI implementation in professional environments.

Dell AI Factory with NVIDIA offers a comprehensive suite of tools and resources that enhance AI deployment and performance. This collaborative platform leverages NVIDIA's GPU technology to support data-intensive applications, providing users with robust machine learning models and data processing capabilities. Designed for scalability and efficiency, it facilitates rapid AI development for enterprises aiming to harness the power of big data and predictive analytics. Its user-centric design ensures accessibility and adaptability for professionals seeking to optimize AI workflows in diverse projects.

What are the key features of Dell AI Factory with NVIDIA?

AI-Ready Infrastructure: Integrates seamlessly with NVIDIA GPUs to deliver high-performance computing.
Scalable Architecture: Supports expansion to meet growing data demands.
Flexible Deployment: Offers diverse deployment options for various business environments.
Comprehensive AI Tools: Provides a wide range of tools to simplify machine learning processes.

What benefits and ROI should reviewers look for?

Enhanced Productivity: Streamlines AI processes, leading to faster results.
Improved Efficiency: Reduces processing time with high computational power.
Cost-Effectiveness: Minimizes expenses compared to traditional computational setups.
Better Decision-Making: Leverages data insights for strategic advantages.

The implementation of Dell AI Factory with NVIDIA in industries like healthcare, finance, and manufacturing demonstrates its ability to transform large-scale data into actionable insights. In healthcare, it aids in predictive analytics for patient care. The finance sector benefits from enhanced fraud detection capabilities, while manufacturing gains through improved automation and quality control.

Dell Technologies

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

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