As one of the world’s leading companies in enterprise cloud storage, Amazon continues to invest in various fields. Combining technologies such as artificial intelligence and machine learning with these services, the company appeared in 2019 with its processor named Inferentia.
Launching a sequel last year, Amazon took its work one step further with the Trainium chipset. Finally, the company intimidated its competitors by introducing its new machine learning-focused chip, Trn1, at the AWS event held today. Here are the details…
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AWS will be much more advanced with Trn1
Speaking at the AWS event in Las Vegas today, CEO Adam Selipsky was the name that shared the new Trn1 with the world. Emphasizing performance in his speech, Selipsky said, “I am excited to announce the new Trn1-based cloud server powered by Trainium that offers the best performance for training deep learning models in cloud solutions.” used the phrases.
Selipsky also highlighted that Trn1 is the first EC2 instance with bandwidth up to 800 gigabytes per second. Thus, Trn1; It aims to meet the needs of large-scale companies for use cases such as image recognition, natural language processing, fraud detection and prediction.
Amazon, which can create “ultra clusters” by combining a few of these chipsets, stated that performance has increased much more in this way. So what do you think about this subject? Do you think the company will be able to catch up with its cloud solution competitors such as Google and Microsoft, thanks to technologies such as Trn1?