10/10/2022, 12:00:00 AM ~ 10/11/2022, 12:00:00 AM (UTC)
Recent Announcements
AWS Neuron adds support for AWS Trainium powered Amazon EC2 Trn1 instances to unlock high-performance, cost effective deep learning training at scale. The Neuron SDK includes a compiler, runtime libraries, and profiling tools that integrate with popular ML frameworks such as PyTorch and Tensorflow. With this first release of Neuron 2.x, developers can now run deep learning training workloads on Trn1 instances to save training costs by up to 50% over comparable GPU-based EC2 instances, while getting the highest training performance in AWS cloud for popular NLP models.
Announcing Amazon EC2 Trn1 instances for high-performance, cost-effective deep learning training
AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. Amazon EC2 Trn1 instances are powered by AWS Trainium chips, which are purpose built for high-performance ML training applications in the cloud. Trn1 instances deliver the highest performance on deep learning (DL) training of popular natural language processing (NLP) models on AWS while offering up to 50% cost savings over comparable GPU-based EC2 instances. You can get started with Trn1 instances by using popular ML frameworks, such as PyTorch and TensorFlow, helping you to lower training costs, reduce training times, iterate faster to build more innovative models, and increase productivity. You can use EC2 Trn1 instances to train natural language processing (NLP), computer vision, and recommender models across a broad set of applications, such as speech recognition, recommendation, fraud detection, image and video classification, and forecasting.
QuickSight Q now supports questions for access restricted datasets that use Row level Security (RLS) with user based rules. Readers can now ask questions about Topics that contain restricted access datasets and instantly receive accurate and pertinent answers based on access control rules defined by authors in RLS settings. Authors can create Q Topics to answer questions on RLS enabled datasets without making any additional changes to existing rules. QuickSight Q leverages existing user based rules defined in RLS settings and enforces these rules not only on answers to questions but also on auto complete suggestions provided at the time of question framing. Therefore, Q Topics created with RLS enabled datasets always surface data that users are granted permission for.
You can now inject Amazon EC2 Spot Instance interruptions into your Spot Instance workloads directly from the Amazon EC2 console. In 2021, we launched the ability for you to use AWS Fault Injection Simulator (AWS FIS) to simulate what happens when Amazon EC2 reclaims Spot Instances, enabling you to test that your application is prepared for an interruption. Now, we have made this capability available in the Amazon EC2 console.
AWS Blogs
AWS News Blog
- Amazon EC2 Trn1 Instances for High-Performance Model Training are Now Available
- AWS Week in Review – October 10, 2022
AWS Startups Blog
AWS Open Source Blog
AWS Cloud Financial Management
Containers
Front-End Web & Mobile
AWS for Industries
- Tapestry advances its analytics and transforms its Data Exchange on AWS
- Easy Genomics Solution for Public Health Labs
- Biotech startup builds agile drug discovery pipeline with scalable compute
The Internet of Things on AWS – Official Blog
AWS Machine Learning Blog
Networking & Content Delivery
- Introducing AWS Gateway Load Balancer Target Failover for Existing Flows
- Manual Failover and Failback Strategy with Amazon Route53