A new kind of hardware is making its way as AI invades our everyday lives more and more: the AI-powered processors, i.e. the processors specifically built to run algorithms of Artificial Intelligence. Here, we want to present a fast guide to the newly available AI processors to the reader.
- GPU CARDS– Although originally targeting video applications, GPU or Graphical Power Unit has become a de facto standard in AI hardware, and companies historically supplying videogame cards such as Nvidia have now turned to the production of AI hardware.
- NVIDIA Titan RTX– This is a high-end card that targets AI researchers as well as AI systems designers. For several applications, such as market price prediction or data analysis in general, it can be scaled and used. A particular architecture, the Turing architecture, drives the NVIDIA Titan RTX. Among other large matrix operations for AI and Deep Learning Super Sampling, the Turing microarchitecture includes (DLSS).
- Radeon Instinct – The GPU card for Deep Learning created by AMD is Radeon Instinct. Notice that AMD also manufactures microprocessors powered by AI for PCs.
- GAP8– The GAP8 is a ground-breaking French processor supplied with 8 cores. GAP8 is an ultra-low-power processor with a Convolutional Neural Network hardware engine built-in. In order to operate traditional neural networks, it only consumes milliwatts of electricity.
- Myriad– Myriad X, developed by Movidius, is a vision-processing unit that can produce up to 1 top with an integrated neural network engine (Terflops operations per second). A specialized Deep neural Network engine is also offered by Myriad X. The processor can deal with memory bottleneck issues easily. Myriad X has 16 SHAVE cores built on it. SHAVE cores were updated as vision accelerators, originally designed for game physics engines.
- TDA4VM– This Texas Instrument AI processor is part of the Jacinto 7 series that is intended for the automotive industry. Centered on the Cortex-A72 architecture, the TDA4VM is aimed at providing functions for driver assistance. It is fitted with a deep learning accelerator chip for this.
- KL520– The KL520 is being produced by the Taiwan-based company Kneron. It operates Coevolutionary Neural Networks native to the image recognition market and targets (facial recognition etc). Its CNN engine will work at 0.3 TOPS, which is good enough for most applications for facial recognition.
In this article, we the best Website Design Company in Dubai to India included a very short introductory guide to the new A.I. Cards and processors that can be purchased on the market. A.I. Since they can be scaled in parallel, processors allow the construction of modular architecture. A. I am the future and advanced hardware and software that can train and run A.I. will be increasingly in demand.
