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The Edge TPU is only capable of accelerating forward-pass operations, which means it's primarily useful for performing inferences (although it is possible to perform lightweight transfer learning on the Edge TPU [48]). The Edge TPU also only supports 8-bit math, meaning that for a network to be compatible with the Edge TPU, it needs to either ...
Video output 1× full size HDMI 1.4 1× MIPI-DSI (compatible with the Raspberry Pi 7" display and others) 1× HDMI 2.0 (4K-capable) 1× MIPI-DSI (4 lane) 1× DisplayPort 1.2 via USB Type-C 1 x HDMI, supports up to 4096 x 2160 @ 60 Hz 1 x MIPI DSI, Supports four lanes up to 6 Gbps, 1920 x1080 @ 60 Hz (22 pin) 1× HDMI with CEC hardware ready
Google Tensor is a series of ARM64-based system-on-chip (SoC) processors designed by Google for its Pixel devices. It was originally conceptualized in 2016, following the introduction of the first Pixel smartphone, though actual developmental work did not enter full swing until 2020.
An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
CELL, a multicore processor with features fairly consistent with vision processing units (SIMD instructions & datatypes suitable for video, and on-chip DMA between scratchpad memories) Coprocessor; Graphics processing unit, also commonly used to run vision algorithms. NVidia's Pascal architecture includes FP16 support, to provide a better ...
A coprocessor is a computer processor used to supplement the functions of the primary processor (the CPU). Operations performed by the coprocessor may be floating-point arithmetic , graphics , signal processing , string processing , cryptography or I/O interfacing with peripheral devices.
Nvidia Jetson is a series of embedded computing boards from Nvidia.The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecture central processing unit (CPU).
GPUs are originally devised to accelerate image processing and video stream rendering. Moreover, since modern GPUs have good ability to perform numeric computations in parallel with a relatively low cost and better energy efficiency, GPUs are becoming a popular alternative to replace supercomputers performing multidimensional DSP.