Remote virtual servers are provided with the attached GPU for deep learning, machine learning and Big Data analytics. Many of these cloud service providers offer integration with the GPU so that high performance scientific computations can be carried out. Table 1 gives a list of a few prominent cloud services that can be used for deep learning and Big Data based implementations, depending upon the usage. Prominent cloud services for deep learning and Big Data analytics ![]() The services of remote computers that have GPUs can be hired without purchasing the GPU and installing it in the local system. To negate the GPU cost factor, there are many cloud based services that provide GPUs on the cloud. In addition, the computer needs to have a GPU card slot. Traditionally, GPU installation has been a costly affair. ![]() The report predicts that the compound annual growth rate (CAGR) of the GPU market will exceed 30 per cent till 2024. A report by Global Market Insights estimates the market size of GPU as a Service as over US$ 200 million in 2016. The global market size of GPUs is increasing rapidly. Figure 1: Microprocessor trend line (Source: ) Figure 2: CPUs vs GPUs NVIDIA GPUs have paved the way forward for the industry, and will provide a 1000X increase in computing speed by 2025. The concept of GPUs for system acceleration was first promoted by NVIDIA in 1999, with the GeForce 256 as the first GPU. ![]() GPU computing integrates these hundreds of cores with the GPU as the co-processor to accelerate the CPU speed for engineering and scientific computations. In traditional Central Processing Units (CPUs) there are multiple cores that can process the computations. So there is a need to integrate Graphics Processing Units (GPUs) that can perform parallel computations to provide the maximum speed. To work with today’s high performance and supercomputing applications associated with Big Data and deep learning, there is a need to integrate specialised hardware that can process the data sets with greater speed and accuracy. Colaboratory can be live synced with Google Drive, and can be shared just as you share Google docs or sheets. It’s a Jupyter notebook environment that requires no setup and runs entirely on the cloud. Colaboratory is a free research project by Google created to help disseminate machine learning education and research.
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