Issue # 78: March 8, 2024 to March 15, 2024

Hey Reader.

Welcome to Issue # 78 of AWS Graviton Weekly, which will be focused on sharing everything that happened in the past week related to AWS Silicon: from March 8, 2024, to March 15, 2024.

In last week's issue, I mentioned that you need to read the 2024 Kubernetes Cost Benchmark report from CAST.AI if you were using Kubernetes in some way.

In the final part of this email, I wanted to answer some of your questions about it.

Now, let's focus on AWS Silicon.

Recommendation of the week: 2024 Kubernetes Cost Benchmark Report​

NEWS

• ​Amazon EC2 M6gd instances are now available in the AWS GovCloud (US) Regions​
• ​Anthropic's Claude 3 Haiku Model now available on Amazon Bedrock​
• ​Announcing AWS Graviton2 support for Amazon EMR Serverless in China Regions​
• ​Amazon EC2 now supports tagging when registering or copying AMIs​
• ​Mountpoint for Amazon S3 CSI driver now supports Bottlerocket​
• ​Amazon's AWS Acquires Nuclear-Powered Data Center in Pennsylvania for $650 Million, Expanding Cloud Computing Dominance​​
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ARTICLES AND TUTORIALS

• ​Build Resilient Applications on SAP BTP with AWS, by Marius Batrinu​

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• ​Technology’s role in sustainability: Takeaways from the AWS Sustainability Breakfast Briefing, by Ciara McGovern and Hilary Tam​

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• ​Large language model inference over confidential data using AWS Nitro Enclaves, by Chris Renzo, Liv d’Aliberti, Justin Miles, and Joe Kovba​

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• ​NumPy vs BLAS: Losing 90% of Throughput, by Ash Vardanian​

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• ​Encored Technologies Successfully Built an HPC on AWS for Weather Research & Forecasting (WRF)​

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• ​Tenzir v4.10, by ​Dominik Lohmann​
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SLIDES, AUDIO AND VIDEO

• [VIDEO] Season 3 Episode 11 - WAF Dashboards, Free Data Transfer & Nuclear Powered AI, with Karl Robinson, Jon Goodall, and Danielle Heberling​

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• [VIDEO] AI Updates & Impressions: AWS re:Invent Recap [AWS User Group Bratislava]​

From the ARM Ecosystem

• ​Arm reveals next-gen chip designs to accelerate automated driving​

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​A note about CAST.AI​

Some of you reached out to me and wanted to know more about the services the company provides: and the best way I've found to do this is by inviting you to watch this short video that explains perfectly in just 5 minutes.

But if you don't have 5 minutes, I will share with you here the 3 core pillars of CAST.AI.

CAST.AI is a multi-cloud platform that helps companies accomplish 3 major things:

• It helps you to monitor your costs in the cloud related to Kubernetes. This feature is very helpful, especially if you use two or more different cloud providers because it allows you to see the full picture in a single place
• Another major feature of the platform is that it constantly monitors the security of your pods and Kubernetes infrastructure in general
• and my favorite feature is the automatic cost optimization, where on average, clients save over 60% without dedicating more engineering labor.

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I'm always looking for new ways to help you to save more money and to be more efficient with our cloud operations, especially in AWS.

​CAST.AI is one of those tools that is perfectly positioned to assist you with this task.

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