- Published on February 8, 2023
- In Deep Tech
GPUs vs TPUs in AI – The Real Battle
While ChatGPT and Bard fight for their tech giant overlords, GPUs and TPUs work overtime to keep them running
- By Anirudh VK
As ChatGPT and Bard slug it out, two behemoths work in the shadows to keep them running – NVIDIA’s CUDA-powered GPUs (Graphic Processing Units) and Google’s custom-built TPUs (Tensor Processing Units). In other words, it’s no longer about ChatGPT vs Bard, but TPU vs GPU, and how effectively they are able to do matrix multiplication.
Why Models Should be Optimised
Training costs are one of the biggest barriers to creating a large model. AI compute is generally calculated in compute/GPU hours, which represents the time it takes for a model to be trained. Another method, termed petaflops/s-day is also used. 1 pf-day consists of compute nodes performing 10^15 (or a petaflop) of operations per second for a whole day.
For context, the largest version of GPT-3 consist
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Anirudh VK
I am an AI enthusiast and love keeping up with the latest events in the space. I love video games and pizza.
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