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	<title>AWS Inferentia &#8211; Noise</title>
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		<title>Top Architecture Blog Posts of 2024</title>
		<link>https://noise.getoto.net/2025/01/23/top-architecture-blog-posts-of-2024/</link>
		
		<dc:creator><![CDATA[Andrea Courtright]]></dc:creator>
		<pubDate>Thu, 23 Jan 2025 16:59:36 +0000</pubDate>
				<category><![CDATA[Amazon CloudFront]]></category>
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		<category><![CDATA[Top Posts*]]></category>
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					<description><![CDATA[Well, it’s been another historic year! We’ve watched in awe as the use of real-world generative AI has changed the tech landscape, and while we at the Architecture Blog happily participated, we also made every effort to stay true to our channel’s original scope, and your readership this last year has proven that decision was […]]]></description>
		
		
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		<title>Let’s Architect! Learn About Machine Learning on AWS</title>
		<link>https://noise.getoto.net/2024/05/30/lets-architect-learn-about-machine-learning-on-aws/</link>
		
		<dc:creator><![CDATA[Luca Mezzalira]]></dc:creator>
		<pubDate>Thu, 30 May 2024 15:01:20 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[AWS Trainium]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Let's Architect]]></category>
		<category><![CDATA[machine learning]]></category>
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		<guid isPermaLink="false">http://noise.getoto.net/?guid=50730c4a0684d0c1070888b29b2f07c9</guid>

					<description><![CDATA[A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]]]></description>
		
		
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		<title>The attendee’s guide to the AWS re:Invent 2023 Compute track</title>
		<link>https://noise.getoto.net/2023/11/17/the-attendees-guide-to-the-aws-reinvent-2023-compute-track/</link>
		
		<dc:creator><![CDATA[Chris Munns]]></dc:creator>
		<pubDate>Fri, 17 Nov 2023 15:34:08 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon EC2 Mac instances]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Cloud Financial Management]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
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		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Graviton]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=79c22fe32d6a9e10d74530774ab36232</guid>

					<description><![CDATA[This post by Art Baudo – Principal Product Marketing Manager – AWS EC2, and Pranaya Anshu – Product Marketing Manager – AWS EC2 We are just a few weeks away from AWS re:Invent 2023, AWS’s biggest cloud computing event of the year. This event will be a great opportunity for you to meet other cloud […]]]></description>
		
		
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		<title>AWS Week in Review: New Service for Generative AI and Amazon EC2 Trn1n, Inf2, and CodeWhisperer now GA – April 17, 2023</title>
		<link>https://noise.getoto.net/2023/04/17/aws-week-in-review-new-service-for-generative-ai-and-amazon-ec2-trn1n-inf2-and-codewhisperer-now-ga-april-17-2023/</link>
		
		<dc:creator><![CDATA[Antje Barth]]></dc:creator>
		<pubDate>Mon, 17 Apr 2023 19:12:09 +0000</pubDate>
				<category><![CDATA[.net]]></category>
		<category><![CDATA[Amazon CodeWhisperer]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon GameLift]]></category>
		<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[AWS Well-Architected Framework]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[generative AI]]></category>
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		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b995bfd1944f841f51557460b77f9f2c</guid>

					<description><![CDATA[I could almost title this blog post the “AWS AI/ML Week in Review.” This past week, we announced several new innovations and tools for building with generative AI on AWS. Let’s dive right into it. Last Week’s Launches Here are some launches that got my attention during the previous week: Announcing Amazon Bedrock and Amazon […]]]></description>
		
		
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		<title>Amazon EC2 Inf2 Instances for Low-Cost, High-Performance Generative AI Inference are Now Generally Available</title>
		<link>https://noise.getoto.net/2023/04/13/amazon-ec2-inf2-instances-for-low-cost-high-performance-generative-ai-inference-are-now-generally-available/</link>
		
		<dc:creator><![CDATA[Antje Barth]]></dc:creator>
		<pubDate>Thu, 13 Apr 2023 12:38:27 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[launch]]></category>
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		<guid isPermaLink="false">http://noise.getoto.net/?guid=37ad09e5776574298d0cf1ca98e1a3ee</guid>

					<description><![CDATA[Innovations in deep learning (DL), especially the rapid growth of large language models (LLMs), have taken the industry by storm. DL models have grown from millions to billions of parameters and are demonstrating exciting new capabilities. They are fueling new applications such as generative AI or advanced research in healthcare and life sciences. AWS has […]]]></description>
		
		
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		<title>Let’s Architect! Architecting with custom chips and accelerators</title>
		<link>https://noise.getoto.net/2022/09/21/lets-architect-architecting-with-custom-chips-and-accelerators/</link>
		
		<dc:creator><![CDATA[Luca Mezzalira]]></dc:creator>
		<pubDate>Wed, 21 Sep 2022 16:51:53 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[cloud]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[custom hardware]]></category>
		<category><![CDATA[distributed-systems]]></category>
		<category><![CDATA[Graviton]]></category>
		<category><![CDATA[hardware]]></category>
		<category><![CDATA[high performance computing]]></category>
		<category><![CDATA[Let's Architect]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[It’s hard to imagine a world without computer chips. They are at the heart of the devices that we use to work and play every day. Currently, Amazon Web Services (AWS) is offering customers the next generation of computer chip, with lower cost, higher performance, and a reduced carbon footprint. This edition of Let’s Architect! […]]]></description>
		
		
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		<title>Scaling Ad Verification with Machine Learning and AWS Inferentia</title>
		<link>https://noise.getoto.net/2021/09/22/scaling-ad-verification-with-machine-learning-and-aws-inferentia/</link>
		
		<dc:creator><![CDATA[Julien Simon]]></dc:creator>
		<pubDate>Wed, 22 Sep 2021 17:42:26 +0000</pubDate>
				<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[Amazon Advertising helps companies build their brand and connect with shoppers, through ads shown both within and beyond Amazon’s store, including websites, apps, and streaming TV content in more than 15 countries. Businesses or brands of all sizes including registered sellers, vendors, book vendors, Kindle Direct Publishing (KDP) authors, app developers, and agencies on Amazon […]]]></description>
		
		
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		<title>Majority of Alexa Now Running on Faster, More Cost-Effective Amazon EC2 Inf1 Instances</title>
		<link>https://noise.getoto.net/2020/11/12/majority-of-alexa-now-running-on-faster-more-cost-effective-amazon-ec2-inf1-instances/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Thu, 12 Nov 2020 18:06:22 +0000</pubDate>
				<category><![CDATA[Alexa]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
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					<description><![CDATA[Today, we are announcing that the Amazon Alexa team has migrated the vast majority of their GPU-based machine learning inference workloads to Amazon Elastic Compute Cloud (EC2) Inf1 instances, powered by AWS Inferentia. This resulted in 25% lower end-to-end latency, and 30% lower cost compared to GPU-based instances for Alexa&#8217;s text-to-speech workloads. The lower latency [&#8230;]]]></description>
		
		
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