Here is the list of the top 5 AI Chips that made it to the market in the year 2021.
There has been immense growth in the domain of artificial intelligence and machine learning. The achievement of any new AI technique depends on computation, on a scale unbelievable even a few years ago. Thus, more developed AI chips and hardware are being formulated and released to match the processing abilities of complex neural networks. Their capacity to deliver computational power relies on the maximum number of transistors one can pack. This is an AI tech article, which features the top five AI chips that made it to the market in 2021.
Here is the list of the top five AI chips:
Intel Loihi 2
In the list of top five AI chips, the first is Intel’s second-generation neuromorphic research chip “Loihi 2”. It supports new classes of neuro-inspired algorithms and applications while providing faster processing, greater resource density, and improved energy efficiency. It was introduced by Intel in September 2021.
Google Tensor
The Google Tensor is co-designed by Google Research to provide amazing support that is required by the state-of-the-artartificial intelligence (AI) and machine learning (ML) models, like Motion Mode, Face Unblur, Speech enhancement for videos, and applying HDRnet to videos. It is one of the best AI chips as it can run more advanced, state-of-the-art ML models at lower levels of power consumption.
Ambarella CV52S
There are various AI chips available in the market today, but the CV52S by Amberella is an expansion of its AI vision system-on-chip portfolio. The CV52S furnishes exponentially smooth 4K image processing, video encoding/decoding, and CVflow computer vision processing in a single, low-power design. Composed with an advanced 5 nm process technology, CV52S allows energy consumption below 3W for 4KP60 video recording with advanced artificial intelligence processing at a rate of 30 fps.
Atlazo AZ-N1
Announced in January 2021, the Atlazo AZ-N1 encompasses its highly power-efficient artificial intelligence and machine learning processor, the Axon I, which is targeted to process audio, sound, biometrics, and other sensor signals, and classify activities in less than a fraction of the power budget compared to other solutions on the market today. It is definitely one of the best AI chips to consider.
NVIDIA A100
NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20X higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands.
Source: analyticsinsight.net
