After that follows a Q&A section of common questions posed to me in Twitter threads in that section, I will also address common misconceptions and some miscellaneous issues, such as cloud vs desktop, cooling, AMD vs NVIDIA, and others. From there, I make GPU recommendations for 1-2, 4, 8 GPU setups, and GPU clusters.
#Nvidia graphics cards comparison 2017 series
I discuss the unique features of the new NVIDIA RTX 30 Ampere GPU series that are worth considering if you buy a GPU. Then I will make theoretical estimates for GPU performance and align them with some marketing benchmarks from NVIDIA to get reliable, unbiased performance data.
These explanations might help you get a more intuitive sense of what to look for in a GPU. I will discuss CPUs vs GPUs, Tensor Cores, memory bandwidth, and the memory hierarchy of GPUs and how these relate to deep learning performance. First, I will explain what makes a GPU fast. This blog post is structured in the following way. I will head each major section with a small summary, which might help you to decide if you want to read the section or not. You might want to skip a section or two based on your understanding of the presented topics. (3) If you want to get an in-depth understanding of how GPUs and Tensor Cores work, the best is to read the blog post from start to finish. (2) If you worry about specific questions, I have answered and addressed the most common questions and misconceptions in the later part of the blog post. These form the core of the blog post and the most valuable content. You have the choice: (1) If you are not interested in the details of how GPUs work, what makes a GPU fast, and what is unique about the new NVIDIA RTX 30 Ampere series, you can skip right to the performance and performance per dollar charts and the recommendation section. This blog post is designed to give you different levels of understanding of GPUs and the new Ampere series GPUs from NVIDIA.
#Nvidia graphics cards comparison 2017 how to
But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding of how to think about GPUs, and will lend you advice, which will help you to make a choice that is right for you. Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience.