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Intel Movidius Myriad 2 VPU vs NVIDIA DGX Systems comparison

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Intel Movidius Myriad 2 VPU

1,397 views|870 comparisons
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NVIDIA DGX Systems

Read 1 NVIDIA DGX Systems review
452 views|369 comparisons
100% willing to recommend
Featured Review
Use Intel Movidius Myriad 2 VPU?
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 »
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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
3rd
out of 13 in Enterprise GPU
Views
1,397
Comparisons
870
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 11 in AI Infrastructure
Views
452
Comparisons
369
Reviews
1
Average Words per Review
750
Rating
9.0
Comparisons
Also Known As
Movidius Myriad 2, Myriad 2, Myriad 2 VPU
NVIDIA DGX-1
Learn More
Intel
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NVIDIA
Overview

Intel's Movidius™ Myriad™ 2 VPU is an industry-defining always-on vision processor, and second generation VPU from Movidius™, an Intel® company. Myriad 2 can be found in millions of devices on the market today and continues to be utilized for some of the most ambitious AI, vision and imaging applications where both performance and low power consumption are

Standing at the intersection of low-power and high performance, the Myriad 2 family of processors are transforming the capabilities of devices. Myriad 2 gives device makers industry-proven performance on AI, imaging and computer vision tasks, all at an unbeatable performance/price proposition.

KEY BENEFITS
-12 Programmable SHAVE Cores
-Ultra-Low Power Architecture
-High Performance VPU
-Small footprint for embedded applications

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 Company19%
Comms Service Provider10%
Educational Organization10%
University9%
VISITORS READING REVIEWS
Manufacturing Company16%
University12%
Computer Software Company9%
Educational Organization9%
Company Size
VISITORS READING REVIEWS
Small Business20%
Midsize Enterprise13%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business20%
Midsize Enterprise12%
Large Enterprise68%

Intel Movidius Myriad 2 VPU is ranked 3rd in Enterprise GPU while NVIDIA DGX Systems is ranked 3rd in AI Infrastructure with 1 review. Intel Movidius Myriad 2 VPU 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 Movidius Myriad 2 VPU is most compared with Intel Movidius Myriad X VPU, Hailo-8, Intel Nervana Neural Network Processor, NVIDIA TITAN V and NeuroBlade, whereas NVIDIA DGX Systems is most compared with Hailo-8, AWS Machine Learning, Radeon Instinct, Lambda Stack and Google Vertex AI.

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.