In the field of computer hardware, significant progress was made in the capabilities of chips and the development of supercomputers in the year 2022. As the fields of machine learning and artificial intelligence continue to experience rapid growth, there is an increasing demand for more advanced processors that are able to effectively analyse and draw conclusions from larger datasets. However, general-purpose processors are not capable of doing this calculation required for deep learning. As a result, individuals starting their own businesses are entering the market in an effort to enhance production alongside huge organisations such as NVIDIA and Intel.
The following is a list of the top five most advanced pieces of AI hardware to be released in 2022:
AIU Chip developed by IBM – It was built with less precision than a CPU would require in order to function properly. The utilisation of calculation based on approximations was essential for this.
Google’s Tensor Processing Unit (also known as TPU) – Because it was developed expressly for use in machine learning software, this CPU is capable of processing data 10 to 100 times faster than other CPUs.
Intel’s Nervana Neural Network Processor is the subject of this article. It enables algorithms and systems for distributed learning that scale up deep learning reasoning by leveraging more advanced types of artificial intelligence.
The V100 GPU Accelerator from NVIDIA Tesla is a graphics processing unit (GPU) that can deliver the performance of up to one hundred CPUs. Now that memory optimization is mostly taken care of, data scientists have more time to devote to developing the next big thing in artificial intelligence.
Intel’s Xeon Scalable Processor is an innovative piece of hardware that sets a new standard for the convergence and capabilities of platforms in the areas of compute, storage, memory, networking, and security.
