Our strategic partnership with OpenAI is expanding. Together, we're co-creating a Stateful Runtime Environment powered by OpenAI models, available on Amazon Bedrock for AWS customers to build generative AI applications and agents at production scale. To support demand for Stateful Runtime Environment, Frontier, and other advanced workloads, OpenAI will consume 2 gigawatts of Trainium capacity through AWS infrastructure. Learn more about the partnership. https://go.aws/4cYwBSO
Amazon Web Services (AWS)
IT Services and IT Consulting
Seattle, WA 10,694,580 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
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Employees at Amazon Web Services (AWS)
Updates
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Many of your users ask the same question worded differently, and you're paying your LLM to answer every single one from scratch. Give your application a semantic cache to reuse answers for questions that mean the same thing for lower inference costs and faster responses. If your #AI project is stuck in prototype because the production cost doesn't work or your application latency gets worse with production traffic, this one's for you. Traditional caches need exact string matches, which almost never happen with natural language. Semantic caching matches on meaning instead and the impact is staggering. Build a semantic cache with Amazon ElastiCache (#Valkey) that intercepts redundant LLM calls before they hit your model See the real cost math: up to 86% reduction in LLM API costs & up to 88% faster response times Learn how to tune similarity thresholds so your cache saves money without sacrificing #generativeAI answer quality Next steps: Get started by referencing the example code in this blog: https://lnkd.in/eGguS6DG
Cut Your LLM Costs and Latency up to 86% with Semantic Caching
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AWS Security Hub Extended is Now Generally Available! It is a new plan that unifies enterprise security operations by combining AWS detection services and curated partner solutions across security categories into a single, streamlined experience. This new offering provides organizations with one bill and unified Level 1 support from AWS. It includes curated partner solutions across nine security categories, with all findings centralized in standards-based format for easier management and analysis. The pricing model offers flexibility with both pay-as-you-go and flat-rate options, requiring no upfront investments. Ready to simplify enterprise security? https://go.aws/3N5ehNq
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What's the probability a pass will be completed? Machine learning can predict it in real-time. Episode 4 of "Going Deep: AWS + National Football League (NFL) Next Gen Stats" dives into Completion Probability—from translating football expertise into ML features to why the team chose XGBoost. Missed an episode? Watch them all here. https://go.aws/40w3eji
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What makes Michael Olise so difficult to stop in Der Klassiker? Performance data tells the story. https://go.aws/3MQ8PxJ Between the lines. In transition. In the moments defenders hesitate. The data reveals where the real danger emerges, and why containing it is so complex. Match Facts powered by AWS. Turning data into deeper insight.
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Amazon leaders share their AI life hacks, from Rufus automating shopping and tracking price drops, to Alexa+ bringing handwritten family recipes to life in the kitchen. Discover how executives use AI for meal planning, reading recommendations, family calendars, and coding with their kids. Real tools. Real impact. Real time saved for what matters most. https://go.aws/4l0FtcY
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AWS Elemental Inference is now available. Create vertical video and highlight clips for TikTok, Instagram Reels, & YouTube Shorts automatically during live broadcasts. With AWS Elemental Inference, NBCUniversal and FOX Sports reach audiences in real time by delivering content for any platform while the moment is still happening instead of waiting for post-production. https://go.aws/4qSXZFm
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AI answers your questions in seconds, but behind that speed is something called inference—the compute-intensive process where trained models generate responses. https://go.aws/3MPF404 At AWS, we've built custom chips like Trainium, intelligent routing systems, and unified infrastructure to make inference faster and more affordable. As AI agents handle complex multi-step tasks, inference accounts for 80-90% of AI computing power. We're engineering at planetary scale to keep those milliseconds reliable.
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The Amazon Nova AI Hackathon is heating up. Over 8,000 participants are already building with frontier AI. With 24 days left, there's still time to compete for $40K in cash prizes using Nova's advanced reasoning, multimodal understanding, voice AI, and UI automation. Whether you're creating agentic systems, voice experiences, or automating workflows, this is your chance to showcase innovation at scale. Don't miss out. https://go.aws/4cLawqK
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Machine learning or rule-based logic? How do you decide which approach powers each stat? Episode 3 of "Going Deep: AWS + National Football League (NFL) Next Gen Stats" reveals how the team uses Amazon SageMaker to develop and test ML models—and how they know when they're ready for game day. Missed an episode? Watch them all here. https://go.aws/4tJ8Zb1