And they are also heavily used in the networking industry. Great examples are the Google Tensor Processing Units (TPU), used to accelerate machine learning functions, or for orbital maneuvering, in which specific orbital maneuvers are encoded, like the Hohmann Transfer, used to move rockets (and their payloads) to a new orbit at a different altitude. Unlike CPUs or GPUs, ASICs are built with a single function in mind. A good example of GPU use is video encoding, or more recently, computer vision, used in applications such as self-driving cars. A GPU is more geared towards graphics (it's in the name), but in the last 15 years, there's been a drastic shift towards GPGPU (General Purpose GPU), in which technologies such as CUDA or OpenCL allow you to use the highly parallel nature of the GPU to do general purpose computing. A CPU is designed and built for general purpose computation, and does a lot of things reasonably well. This is in stark contrast to a CPU (Central Processing Unit), or even a GPU (Graphics Processing Unit). The name already says it, it's a chip with a very narrow use case, geared towards a single application. What's an ASIC?ĪSIC stands for Application Specific Integrated Circuit. So let’s have a look at one of the cornerstones that makes all of this work… ASICs. To handle all the traffic passing through our network, there are multiple technologies at play. At Cloudflare we pride ourselves in our global network that spans more than 200 cities in over 100 countries.
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