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. 

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 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. 

Financial market traders are acting like teenaged hysterics with hair-trigger response mechanisms and I have a cunning plan to exploit this, Ed confides to his diary. The whole world is now aware of the importance of the chip supply issues – there’s talk of both shortages and a market glut and there’s hyper uncertainty so …

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Today, Amazon Elastic Container Service (Amazon ECS) has announced the availability of additional metadata attributes for tasks running on Amazon EC2 capacity. You can now use the Amazon ECS task metadata endpoint  to retrieve the service name of a task as well as the Amazon VPC ID of Amazon EC2 instance that the task is running on. These additional task metadata attributes provide you increased visibility over your ECS container workloads running on Amazon EC2.

You can now connect with partners and independent consultants located in Australia, Bahrain, European Union member states, Hong Kong, Japan, New Zealand, Norway, Qatar, Switzerland, and United Arab Emirates. Quickly find, engage, & get help from partners and independent consultants in these new regions for on-demand work.

New versions of the Amazon Chime iOS and Android mobile apps are being rolled out with a new experience designed to improve your Amazon Chime Meetings on mobile devices. This update introduces features that aim to make it easier for you to participate in meetings when you are away from a desk and on the move. The update includes a new roster screen, a new meeting join experience, new meeting controls, performance improvements, and more. 

Amazon CloudWatch Logs customers can now run up to 20 concurrent Log Insights queries for their analytic needs. By increasing the number of concurrent queries from 10 to 20, customers can create dashboards with a higher number of Log Insight queries. Additionally, multiple users within the same account can, in the aggregate, execute up to 20 queries at the same time.  

Jay Last, one of the founders of Fairchild , once gave an interesting account of who did what at ShockleySemiconductor where they not only developed transistors but the means of producing them: ”Bob Noyce and I were involved with a step-and-repeat camera.  Jean Hoerni was involved with diffusion and he had a great deep, physical …

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This one looks interesting, a new entrant for our virtual Gadget Library: a book about autonomous AI-enabled drones and the Raspberry Pi 4.

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