The Intel Nervana Neural Network Processor (NNP) is a purpose built architecture for deep learning. This new architecture provides the needed flexibility to support all deep learning primitives while making core hardware components as efficient as possible.
Deep learning is taking the next leap forward. Increasingly sophisticated and complex data, models, and techniques will allow AI to move beyond identifying information to understanding context – enabling a level of “common sense” for reasoning and decision-making.
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 Nervana Neural Network Processor is ranked 8th in Enterprise GPU while Intel Xeon Phi is ranked 6th in Enterprise GPU. Intel Nervana Neural Network Processor is rated 0.0, while Intel Xeon Phi is rated 0.0. On the other hand, Intel Nervana Neural Network Processor is most compared with Intel Movidius Myriad 2 VPU, whereas Intel Xeon Phi is most compared with NVIDIA Tesla, Intel Movidius Myriad X VPU, NVIDIA TITAN V and NVIDIA DGX Systems.
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