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Amazon Bedrock vs NVIDIA DGX Cloud comparison

 

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) (11th)
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 December 2025, in the AI Infrastructure category, the mindshare of Amazon Bedrock is 16.0%, up from 2.2% compared to the previous year. The mindshare of NVIDIA DGX Cloud is 17.0%, down from 33.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Infrastructure Market Share Distribution
ProductMarket Share (%)
Amazon Bedrock16.0%
NVIDIA DGX Cloud17.0%
Other67.0%
AI Infrastructure
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
Diretor at Hat Thinking
Advanced integration and flexible architecture drive efficient business solutions
I have to gain more maturity to provide some improvements to Amazon Bedrock. I have a lot to do with the environment they already provided. For example, they are able to connect to any LLM solution such as Llama, Meta, Gemini, or ChatGPT. It is open; you just choose your favorite LLM solution, and you can integrate it into Amazon Bedrock. We have a lot of possibilities to do this integration at this moment; we just need to work on it, create more maturity, and then we can provide some enhancements that we can see on the solution as a whole. 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. They wonder if they are providing some company information that can run away, and I think that is the challenge we have now. We need to find ways to work on it and make our clients' data secure. They are looking for that to guarantee that this is a great solution for companies that is also secure.
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 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."
"One of the best features of Amazon Bedrock is that it is easy to use, and users do not have to worry about the infrastructure."
"Bedrock offers various foundational models in one place."
"The most valuable feature of Bedrock is its security and the model's ability to modify vector dimensions easily."
"Amazon Bedrock is an artificial intelligence engine that allows me to upload analyses of the quality of customer support calls."
"Data encryption while in transit and at rest is managed through Bedrock account."
"The valuable feature of Bedrock is its flexibility and comprehensiveness in what it's offering, providing parameters that we can change."
"It was absolutely useful and we found that we are getting 90 to 95% plus success rate while extracting the data from unstructured documents."
"The most valuable thing about DGX Systems is their super-fast connection."
 

Cons

"The initial setup of Amazon Bedrock is somewhat complex as it requires integration with two to three services."
"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."
"What could be improved for Amazon Bedrock to make it more mature is that AWS needs to consider bringing their platforms together, and not having different ML and AI platforms."
"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."
"While working with Bedrock, I incurred charges that were not explicitly mentioned in the pricing documentation."
"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."
"The end-to-end application setup integration was very difficult."
"The advantage of Bedrock is not as an amazing enabler of AI platforms, yet we utilize it to deploy application services and microservices within Bedrock ecosystem and leverage prequalified foundation models like Claude and others."
"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
Computer Software Company
11%
Manufacturing Company
11%
Financial Services Firm
10%
University
7%
Computer Software Company
13%
University
12%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise7
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