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
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.
Intel Movidius Myriad 2 VPU is ranked 4th in Enterprise GPU while Intel Xeon Phi is ranked 2nd in Enterprise GPU. Intel Movidius Myriad 2 VPU is rated 0.0, while Intel Xeon Phi is rated 0.0. On the other hand, Intel Movidius Myriad 2 VPU is most compared with Intel Movidius Myriad X VPU, NVIDIA Tesla, Hailo-8 and Intel Nervana Neural Network Processor, whereas Intel Xeon Phi is most compared with NVIDIA Tesla, Radeon Instinct, NVIDIA TITAN V, Intel Movidius Myriad X VPU and NVIDIA DGX-1.
See our list of best Enterprise GPU vendors.
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.