#Developers, unlock the power of real-time data to elevate your users' experience & score a major win. ☁️⚽️💡 https://go.aws/3AWmywZ #AWS #generativeAI #AmazonBedrock
Amazon Web Services (AWS)
IT Services and IT Consulting
Seattle, WA 9,868,252 followers
Official Global LinkedIn page for Amazon Web Services (AWS).
About us
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.
- Website
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http://aws.amazon.com
External link for Amazon Web Services (AWS)
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, WA
- Type
- Public Company
- Founded
- 2006
Products
Locations
Employees at Amazon Web Services (AWS)
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Frank Boosman
Global Head of Customer Success, Data Center Learning at AWS
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Don Drake
Sr. Solutions Architect, DBS at Amazon Web Services (AWS)
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Ted Collins
Sr. Software Manager, leading startup team at Amazon Grand Challenge (internal "big-bet" group formed by Jeff B.)
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Phil Windley
Digital identity expert
Updates
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Higher quality code recommendations are here with the newest #AmazonQ Developer update. ☁️ 🚀 ✅ Learn more. ➡️ https://go.aws/4hFzhUR Amazon Q Developer agent for software development can now run build & test scripts on generated code to validate the code before you review it. Get real-time updates as the agent generates code for complex multi-file features and fixes any errors in the code, providing a higher quality recommendation to you from the first iteration.
AWS - Amazon Q | Amazon Q Developer Update
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Join Rahul Pathak, VP Data & AI/ML GTM at Amazon Web Services, for an exploration of AI's transformative power and the critical mindsets needed to deliver value with this technology. Through customer success stories and industry trends, learn how organizations are leveraging generative AI to drive innovation and growth. Discover how data serves as a key differentiator and why a disciplined approach, coupled with a sense of urgency, is essential for success.
AWS Exec Connections for Innovate Gen AI + Data
www.linkedin.com
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Join us virtually for our second AWS Developer Day event designed to help developers and teams incorporate cutting-edge yet responsible generative AI across their development lifecycle to accelerate innovation. Get a first look at exciting technical deep dives, product updates, and future industry trends. Explore real-world use cases and best practices needed to increase release velocity, enhance development workflows, and build fast, fullstack generative AI applications.
Developer Innovation Day 2025
www.linkedin.com
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The Future of Data & AI is unified. 📈🙏🎯 https://go.aws/3CFNUbD The world of analytics and AI are converging as organizations leverage their data to power both business intelligence and the latest AI models. This "great data convergence" is reshaping the role of data professionals - and #AWS is leading this transformation. The next generation of Amazon #SageMaker will transform how organizations handle their data, analytics, and AI – all in one unified experience. Learn how Amazon SageMaker is accelerating AI development and driving business value.
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Amazon Web Services (AWS) reposted this
DeepSeek R1 is the latest foundation model to capture the imagination of the industry. We’ve always been focused on making it easy to get started with emerging and popular models right away, and we’re giving customers a lot of ways to test out DeepSeek AI. Today, customers can run the distilled Llama and Qwen DeepSeek models on Amazon SageMaker AI, use the distilled Llama models on Amazon Bedrock with Custom Model Import, or train DeepSeek models with SageMaker via Hugging Face. We’ve always believed that no single model is right for every use case, and customers can expect all kinds of new options to emerge in the future. That’s why Amazon Bedrock and Amazon SageMaker AI make it seamless for customers to test and evaluate the latest models as they emerge and pick the best ones based on their unique needs. https://lnkd.in/gtDtypi5
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Curious to see how AI pioneers like Anthropic are innovating with Trainium2? 🛠️⚡https://go.aws/4hce5Wp ️ Anthropic will train the next generation of Claude on Project Rainier, a new cluster with hundreds of thousands of #AWS Trainium2 chips. These chips deliver hundreds of exaflops–over 5x the size of their previous cluster. And their Claude Haiku model runs 60% faster on Trainium2 via Amazon Bedrock's latency-optimized inference. #TrainiumTuesdays #generativeAI
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From needle in a haystack to X-ray vision. 🔍☁️ https://go.aws/3PSw5cA Amazon S3 Metadata, now generally available, is the easiest & fastest way to discover & understand your S3 data. Accelerate data discovery with automated & easily queried metadata that updates in near real time. #AWS #CloudStorage
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Take the guesswork out of managing AWS costs with #AmazonQ Developer! 🤖 Learn more. ➡️ https://go.aws/4j8gDGD Looking to answer your #AWS cost questions? Just ask questions like, "What are my forecasted costs for the rest of the year?" & get instant insights.
AWS - Amazon Q | Learning about costs and usage