Compare Intel Movidius Myriad X VPU vs. Intel Xeon Phi

Intel Movidius Myriad X VPU is ranked 6th in Enterprise GPU while Intel Xeon Phi is ranked 2nd in Enterprise GPU. Intel Movidius Myriad X VPU is rated 0, while Intel Xeon Phi is rated 0. On the other hand, Intel Movidius Myriad X VPU is most compared with Intel Movidius Myriad 2 VPU, whereas Intel Xeon Phi is most compared with NVIDIA Tesla, Radeon Instinct and NVIDIA TITAN V.
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Ranking
6th
out of 11 in Enterprise GPU
Views
61
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37
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0
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0
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2nd
out of 11 in Enterprise GPU
Views
932
Comparisons
840
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 62% of the time.
Compared 26% of the time.
Compared 9% of the time.
Also Known As
Movidius Myriad X, Myriad X, Myriad X VPUKnights Landing
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Overview

The Intel® Movidius™ Myriad™ X VPU is the third generation and most advanced VPU from Intel. It is the first of its class to feature the Neural Compute Engine – a dedicated hardware accelerator for deep neural network inferences. The Neural Compute Engine in conjunction with the 16 powerful SHAVE cores and an ultra-high throughput intelligent memory fabric makes Intel Movidius Myriad X the industry leader for on-device deep neural networks and computer vision applications. Intel’s Myriad™ X VPU has received additional upgrades to imaging and vision engines including additional programmable SHAVE cores, upgraded and expanded vision accelerators, and a new native 4K ISP pipeline with support for up to 8 HD sensors connecting directly to the VPU.

The Intel Movidius Myriad X VPU is programmable via the Myriad Development Kit (MDK) which includes all necessary development tools, frameworks and APIs to implement custom vision, imaging and deep neural network workloads on the chip.

Key Benefits
-Dedicated Neural Compute Engine
-16 High Performance SHAVE Cores
-Enhanced ISP with 4K support
-New Vision Accelerators including Stereo Depth

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.

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