Google recently announced the release of its first custom-built processor, called Tensor. This chip is designed to accelerate artificial intelligence (AI) workloads in the company’s cloud-computing service, Google Cloud.
Tensor marks a significant milestone in Google’s efforts to develop its own silicon technology, joining other tech giants like Apple, Microsoft, and Amazon, who have already developed custom processors for their own products and services.
Tensor is built using chip technology from Google’s parent company, Alphabet, and was developed specifically for Google’s TensorFlow framework, which is used to build and train machine learning models. According to Google, Tensor will improve the speed and efficiency of AI workloads by up to 30 times.
This will enable developers to run large-scale AI applications more quickly and with less power, ultimately leading to more efficient use of resources.
Google has already been using Tensor for some of its own AI applications, such as its voice recognition service, Google Assistant, and the computer vision technology behind Google Photos. However, Tensor is now being made available to developers as a part of Google Cloud.
This move is part of Google’s broader strategy to make AI more accessible to businesses of all sizes and across all industries.
Tensor represents a major step forward for Google in the race to develop faster, more powerful AI technology. The company is also planning to release a second-generation Tensor chip in the coming years, which will offer even greater improvements in performance and efficiency.
With these advancements, Google is well positioned to continue leading the way in the development of cutting-edge AI technology.
