Why you can trust ZDNet
Our recommendations are based on many hours of testing, research, and comparison shopping. We may earn a commission when you purchase a product through our links. This helps support our work but does not influence what we write about or the price you pay. Our editors thoroughly review and fact check every article. Our process

‘ZDNet Recommends’ What exactly does that mean?

ZDNet’s recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing.

When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNet nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNet's editorial team writes on behalf of YOU, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form

Close

AWS fleshes out processor roadmap with Graviton3, Trainium, new instances

The new Trainium-powered Trn1 instance and the new Graviton3-powered C7g instances will bring better price-performance to customers leveraging machine learning.

Amazon Web Services on Tuesday announced new EC2 instances powered by new versions of its custom-designed chips, the Graviton3 and Trainium. 

AWS is focused on "making the full power of machine learning available for all customers," AWS CEO Adam Selipsky said during his AWS re:Invent keynote address.  "Lowering the cost of training and inference are major steps of the journey."

After launching the first AWS-designed Graviton processor in 2018, the cloud company is now debuting Graviton3 for compute-intensive workloads like high-performance computing, batch processing, electronic design automation (EDA), media encoding, scientific modeling, ad serving, distributed analytics, and CPU-based machine learning inferencing.

Compared to Graviton2, the new chip will deliver up to 25% more compute performance and up to twice as much floating-point & cryptographic performance. For machine learning, Graviton3 includes support for bfloat16 data and will be able to deliver up to 3x better performance.

AWS teased the upcoming C7g instances powered by Graviton3 processors. 

Selipsky also announced the new Trn1 instance, powered by Trainium. AWS last year launched Trainium, a chip purpose-built for training deep learning models. The new instances will deliver the best price-performance for deep learning training for applications like image recognition, natural language processing and fraud detection. 

The instances will offer up to 800Gbps networking bandwidth. Trn1 instances are now available in preview.

Show Comments