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Intel Xeon Phi vs NVIDIA DGX Systems comparison

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Intel Xeon Phi
678 views|435 comparisons
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NVIDIA DGX Systems
Read 1 NVIDIA DGX Systems review
486 views|391 comparisons
100% willing to recommend
Featured Review
Use Intel Xeon Phi?
Anonymous User
Versatile, well-built, and powerful
Using DGX systems has been beneficial, especially when dealing with large language models or resource-intensive applications. The all-in-one design... Read more →
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What do you like most about NVIDIA DGX Systems?
Top Answer:The most valuable thing about DGX Systems is their super-fast connection.
What is your experience regarding pricing and costs for NVIDIA DGX Systems?
Top Answer:The prices for DGX are pretty high, and not everyone can afford them. We only have a few out of our total servers because of the cost. It would be great if the prices could come down in the future to… more »
What needs improvement with NVIDIA DGX Systems?
Top Answer:One thing that could be better in DGX systems is their power consumption. They have been making improvements, but finding the right balance between performance and using less power is a challenge. It… more »
Ranking
6th
out of 13 in Enterprise GPU
Views
678
Comparisons
435
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 11 in AI Infrastructure
Views
486
Comparisons
391
Reviews
1
Average Words per Review
750
Rating
9.0
Comparisons
Also Known As
Knights Landing
NVIDIA DGX-1
Learn More
Intel
NVIDIA
Overview

The Intel Xeon Phi processor is a bootable host processor that delivers massive parallelism and vectorization to support the most demanding high-performance computing applications. The integrated and power-efficient architecture delivers significantly more compute per unit of energy consumed versus comparable platforms to give you an improved total cost of ownership.1 The integration of memory and fabric topples the memory wall and reduces cost to help you solve your biggest challenges faster.

Whether creating quality customer experiences, delivering better patient outcomes, or streamlining the supply chain, enterprises need infrastructure that can deliver AI-powered insights. NVIDIA DGX™ systems deliver the world’s leading solutions for enterprise AI infrastructure at scale.

Sample Customers
Information Not Available
Open AI, UC Berkley, New York University, Massachusetts General Hospital
Top Industries
VISITORS READING REVIEWS
Manufacturing Company18%
University16%
Educational Organization10%
Computer Software Company6%
VISITORS READING REVIEWS
Manufacturing Company16%
University12%
Computer Software Company10%
Educational Organization9%
Company Size
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise19%
Large Enterprise68%
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise12%
Large Enterprise66%

Intel Xeon Phi is ranked 6th in Enterprise GPU while NVIDIA DGX Systems is ranked 3rd in AI Infrastructure with 1 review. Intel Xeon Phi is rated 0.0, while NVIDIA DGX Systems is rated 9.0. On the other hand, the top reviewer of NVIDIA DGX Systems writes "Versatile, well-built, and powerful". Intel Xeon Phi is most compared with NVIDIA Tesla, NVIDIA TITAN V, Intel Movidius Myriad X VPU and Radeon Instinct, whereas NVIDIA DGX Systems is most compared with Hailo-8, AWS Machine Learning, Radeon Instinct, Google Vertex AI and HPE InfoSight.

We monitor all Enterprise GPU reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.