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Amazon Bedrock vs NVIDIA DGX Cloud comparison

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Comparison Buyer's Guide

Executive Summary

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 Bedrock
Ranking in AI Infrastructure
1st
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
17
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (5th)
NVIDIA DGX Cloud
Ranking in AI Infrastructure
2nd
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the AI Infrastructure category, the mindshare of Amazon Bedrock is 12.3%, down from 14.6% compared to the previous year. The mindshare of NVIDIA DGX Cloud is 9.9%, down from 18.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Infrastructure Mindshare Distribution
ProductMindshare (%)
Amazon Bedrock12.3%
NVIDIA DGX Cloud9.9%
Other77.8%
AI Infrastructure
 

Featured Reviews

Amal Amami - PeerSpot reviewer
Data Scientist Team Lead at Venarisecurity
Access to large language models has transformed how our team invokes APIs and creates reports
I may not be the right person to provide this insight or recommendation. I am not really following the progress in it. Some new features may have been implemented and I am not aware of it. I would have to go back to Amazon Bedrock for that information. Working on agentic tools and providing more capability on agentic AI is what was missing at the last time I explored Amazon Bedrock. As I recall now, I found some limitations or some models are not present in Amazon Bedrock sometimes while they are present in other platforms. There are new models that are coming, and sometimes I cannot find them in Amazon Bedrock. The limitation of region sometimes also caused some problems. Some models are found in regions and not in others, and the customers or the clients do not want the model to be hosted in a region different than their own. These are some limitations that we encounter sometimes while working on a product for a specific customer.
reviewer2309676 - PeerSpot reviewer
Team Lead, High-Performance Computing (HPC) at a manufacturing company with 1,001-5,000 employees
Versatile, well-built, and powerful
The initial setup of the DGX server was quite straightforward. We treated it like any other server during deployment. It went to the data center, where they set it up, placed it in the rack, and enabled it. The deployment process was familiar, using our standard tools like Foreman and Ansible. Since the operating system is supported, we didn't encounter any specific challenges. For deploying the DGX server, we typically need two people for software tasks and sometimes vendor assistance for hardware setup. The process takes about four hours, with NVIDIA firmware updates taking the most time (around two hours), and the rest dedicated to OS and Ansible deployment. Maintaining the DGX server is pretty straightforward. We treat it like any other server, with around 10% downtime, while the rest of the cluster remains up.

Quotes from Members

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

Pros

"The no-code application of the service is beneficial since it allows creating solutions without extensive coding knowledge."
"The most valuable feature of Bedrock is its security and the model's ability to modify vector dimensions easily."
"The impact of Amazon Bedrock's sophisticated natural language processing on our company's ability to predict future outcomes is very interesting because, before we were using some Python codes, we created server instances to upload it, and we had some difficulty integrating it with the ecosystem because all the features we were creating were manually based."
"The integration with pre-trained AI models has been very beneficial, allowing me to quickly access powerful machine learning models without the need to build them from scratch."
"Amazon Bedrock enabled the use of huge models and the democratization of their use at comparatively low cost, if we host these models in the company."
"Amazon Bedrock is easy to use and practical, allowing for quick development."
"It was absolutely useful and we found that we are getting 90 to 95% plus success rate while extracting the data from unstructured documents."
"It is the best solution in this category and is rated a nine out of ten."
"The most valuable thing about DGX Systems is their super-fast connection."
 

Cons

"It would be beneficial if Bedrock were optimized for hyperscale use to avoid needing a mixed approach with SageMaker."
"The user interface of Amazon Bedrock on the management console needs improvements. It's very bland at the moment."
"Overall, I rate Amazon Bedrock a seven out of ten. It is slightly difficult to integrate with our product."
"I would appreciate a greater focus on agentic Gen AI applications in Bedrock."
"However, their product is not as mature as Snowflake or Databricks."
"One area for improvement is in cost—it tends to be a bit on the higher side, especially for enterprise versions."
"Bedrock could be improved by having an API that allows for easy integration with services outside of Bedrock."
"For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture."
"One thing that could be better in DGX Systems is their power consumption."
 

Pricing and Cost Advice

"The cost of using Amazon Bedrock is quite high, as I incurred unexpected charges amounting to $130 USD within two weeks without actually deploying the model."
"One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
11%
Comms Service Provider
9%
Outsourcing Company
9%
University
11%
Manufacturing Company
11%
Comms Service Provider
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise1
Large Enterprise8
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Bedrock?
The price of invoking the model is considerably better compared to hosting the model with our local resources. This is an advantage for Amazon Bedrock.
What needs improvement with Amazon Bedrock?
Currently, I do not have any negative points in mind about Amazon Bedrock because I think Amazon Bedrock and other services are good. We have to use OpenSearch as well. We have not implemented RAG ...
What is your primary use case for Amazon Bedrock?
I am currently working on Amazon Bedrock Agent Core. We have created a data pipeline where we are using Amazon Bedrock Agent Core primarily for transformation. We use the agent for custom rules, tr...
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Also Known As

No data available
NVIDIA DGX-1, DGX Cloud, NVIDIA DGX Platform
 

Overview

 

Sample Customers

Information Not Available
Open AI, UC Berkley, New York University, Massachusetts General Hospital