During the Google I/O annual event, the tech giant announced a crucial breakthrough in the technological industry. This is about the next generation of chips called Tensor Processing Units, TPUs for short. These units were specially designed to speed up machine learning processing.
Thanks to Latest TPUs Machine Learning Processing Will Become an Easier Job
The company introduced its TPUs as chips capable of delivering around 180 teraflops. This out-of-this-world performance makes them great not only for speed but capability and efficiency as well. The first generation of TPU could only support the inference. However, its offspring has a significantly higher capacity that can move on to train machines in their learning models. These represent a crucial part in a machine learning processing.
As such, the utilities of this new technology are endless, and they can change the face of technology as we know it. A simple, practical exemplification of this potency is teaching a machine how to identify different elements in a photo. This way, digital users will no longer need to create tags or descriptions to find a photo manually. They can simply type in the keyword that represents the image they need, and machines will retrieve the best selections for them.
Google Will Make the New Technology Available through Google Cloud Platform
By comparison, the first generation of TPUs was only capable of conducting tasks of inference. This means only statistical odds. For instance, there were 85% chances for a machine to identify a car for what it is and not find it to be a flower instead. Therefore, this innovation is much more powerful than the previous technologies. Google exemplified this difference by stating that 32 GPUs can take a whole day to train a large-scale machine. On the other hand, one-eighth of new TPU can do the job in several hours.
Moreover, Google wants everyone to enjoy the power of this innovative technology. Therefore, the company is going to make its TPUs available through Google Cloud Platform.
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