Stephanie Condon
for Between the Lines
| November 30, 2021
| Topic: Artificial Intelligence
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.
AWS re:Invent
AWS takes aim at mainframes with migration service
AWS fleshes out processor roadmap with Graviton3, Trainium, new instances
Houston Food Bank, Black Girls CODE among 20 winners of AWS nonprofit grants
AWS Braket improves support for hybrid quantum-classical algorithms
AWS launches AWS IoT RoboRunner, aims to manage robot fleets
Amazon to detail Amazon Ads’ AWS infrastructure
AWS rolls out Graviton2-powered EC2 instances for GPU-based workloads
Amazon AWS: A guide to the world’s leading cloud service provider
Amazon
|
Digital Transformation
|
CXO
|
Internet of Things
|
Innovation
|
Enterprise Software