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Pro Tip #13: Benchmark for Deep Learning using NVIDIA GPU Cloud and Tensorflow (Part 2): Hardware Considerations

Posted by PNY Pro on Fri, Jun 21, 2019 @ 12:00 PM

In this blog post, I will go over the hardware considerations I used when putting together a system for benchmarking GPU performance for Deep Learning using Ubuntu 18.04, NVIDIA GPU Cloud (NGC) and TensorFlow. Keep in mind that everyone will have different budgets and requirements for their own systems, which can and will result in a wide range of configurations. My particular list should serve only as a reference; your system will likely be different based on your own requirements.

Before we dive into the details, let’s go over what we are seeking to accomplish.  Our goal is to build a system to test the compute performance between different GPUs; therefore the GPU should be the only variable that changes between the different test runs.  To ensure the consistency of our tests, we will remove any potential bottlenecks that will negatively impact GPU performance. 

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Topics: PNY, NVIDIA, NVIDIA Quadro, PNYPRO, NVIDIA GPU Cloud, Pro Tip, Turing, Quadro RTX, Artificial Intelligence, GeForce RTX, NGC, GPU-accelerated machine learning, NVIDIA CUDA, CUDA-X, Linux, Tensorflow, benchmark

PNY Pro Tip #12: Benchmark for Deep Learning using NVIDIA GPU Cloud and Tensorflow (Part 1)

Posted by PNY Pro on Fri, May 03, 2019 @ 10:31 AM

As a PC enthusiast, I love pitting hardware solutions against each other to determine their relative performance when completing a particular task.  This process is also known as “Benchmarking.”  Benchmarking results are usually considered the best tool to evaluate the merits of competing systems when making a purchase decision.

In this 3-part blog series, we’ll discuss how to build a system, with an emphasis on benchmarking GPU performance for Deep Learning using Ubuntu 18.04, NVIDIA GPU Cloud (NGC) and TensorFlow.

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Topics: Deep Learning, NVIDIA GPU, NVIDIA GPUs, NVIDIA Quadro GPUs, CUDA, NVIDIA RTX Technology, Pro Tip, Tensor Cores, Quadro RTX, NVIDIA Turing Architecture, nvidia quadro rtx, Artificial Intelligence, NVIDIATuring, GeForce RTX, Data Science Workstation, NGC, data science, RAPIDS, GPU-accelerated machine learning, NVIDIA CUDA, analytics, CUDA-X, Linux, Tensorflow, benchmark

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