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Intel Xeon Phi [EOL] vs NVIDIA DGX Cloud comparison

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

Intel Xeon Phi [EOL]
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
NVIDIA DGX Cloud
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
AI Infrastructure (2nd)
 

Featured Reviews

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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.
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
13%
University
12%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Also Known As

Knights Landing
NVIDIA DGX-1, DGX Cloud, NVIDIA DGX Platform
 

Overview

 

Sample Customers

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