Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together | Amazon Web Services – AWS Blog
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. We have been making state-of-the-art generative AI models accessible and usable for businesses of all sizes through Amazon Bedrock. In just a few short months since Amazon Bedrock became generally available on September 28, 2023, more than 10K customers have been using it to deliver, and many of them are using Claude. Customers such as ADP, Broadridge, Cloudera, Dana-Farber Cancer Institute, Genesys, Genomics England, GoDaddy, Intuit, M1 Finance, Perplexity AI, Proto Hologram, Rocket Companies and more are using Anthropics Claude models on Amazon Bedrock to drive innovation in generative AI and to build transformative customer experiences. And today, we are announcing an exciting milestone with the next generation of Claude coming to Amazon Bedrock: Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku.
Anthropic is unveiling its next generation of Claude with three advanced models optimized for different use cases. Haiku is the fastest and most cost-effective model on the market. It is a fast compact model for near-instant responsiveness. For the vast majority of workloads, Sonnet is 2x faster than Claude 2 and Claude 2.1 with higher levels of intelligence. It excels at intelligent tasks demanding rapid responses, like knowledge retrieval or sales automation. And it strikes the ideal balance between intelligence and speed qualities especially critical for enterprise use cases. Opus is the most advanced, capable, state-of-the-art FM with deep reasoning, advanced math, and coding abilities, with top-level performance on highly complex tasks. It can navigate open-ended prompts, and novel scenarios with remarkable fluency, including task automation, hypothesis generation, and analysis of charts, graphs, and forecasts. And Sonnet is first available on Amazon Bedrock today. Current evaluations from Anthropic suggest that the Claude 3 model family outperformscomparable models in math word problem solving (MATH) and multilingual math (MGSM) benchmarks, critical benchmarks used today for LLMs.
Specifically, Opus outperforms its peers on most of the common evaluation benchmarks for AI systems, including undergraduate level expert knowledge (MMLU), graduate level expert reasoning (GPQA), basic mathematics (GSM8K), and more. It exhibits high levels of comprehension and fluency on complex tasks, leading the frontier of general intelligence.
Through Amazon Bedrock, customers will get easy access to build with Anthropics newest models. This includes not only natural language models but also their expanded range of multimodal AI models capable of advanced reasoning across text, images, charts, and more. Our collaboration has already helped customers accelerate generative AI adoption and delivered business value to them. Here are a few ways customers have been using Anthropics Claude models on Amazon Bedrock:
We are developing a generative AI solution on AWS to help customers plan epic trips and create life-changing experiences with personalized travel itineraries. By building with Claude on Amazon Bedrock, we reduced itinerary generation costs by nearly 80% percent when we quickly created a scalable, secure AI platform that can organize our book content in minutes to deliver cohesive, highly accurate travel recommendations. Now we can repackage and personalize our content in various ways on our digital platforms, based on customer preference, all while highlighting trusted local voicesjust like Lonely Planet has done for 50 years.
Chris Whyde, Senior VP of Engineering and Data Science, Lonely Planet
We are working with AWS and Anthropic to host our custom, fine-tuned Anthropic Claude model on Amazon Bedrock to support our strategy of rapidly delivering generative AI solutions at scale and with cutting-edge encryption, data privacy, and safe AI technology embedded in everything we do. Our new Lexis+ AI platform technology features conversational search, insightful summarization, and intelligent legal drafting capabilities, which enable lawyers to increase their efficiency, effectiveness, and productivity.
Jeff Reihl, Executive VP and CTO, LexisNexis Legal & Professional
At Broadridge, we have been working to automate the understanding of regulatory reporting requirements to create greater transparency and increase efficiency for our customers operating in domestic and global financial markets. With use of Claude on Amazon Bedrock, were thrilled to get even higher accuracy in our experiments with processing and summarizing capabilities. With Amazon Bedrock, we have choice in our use of LLMs, and we value the performance and integration capabilities it offers.
Saumin Patel, VP Engineering generative AI, Broadridge
The Claude 3 model family caters to various needs, allowing customers to choose the model best suited for their specific use case, which is key to developing a successful prototype and later production systems that can deliver real impactwhether for a new product, feature or process that boosts the bottom line. Keeping customer needs top of mind, Anthropic and AWS are delivering where it matters most to organizations of all sizes:
And AWS and Anthropic are continuously reaffirming our commitment to advancing generative AI in a responsible manner. By constantly improving model capabilities committing to frameworks like Constitutional AI or the White House voluntary commitments on AI, we can accelerate the safe, ethical development, and deployment of this transformative technology.
Looking ahead, customers will build entirely new categories of generative AI-powered applications and experiences with the latest generation of models. Weve only begun to tap generative AIs potential to automate complex processes, augment human expertise, and reshape digital experiences. We expect to see unprecedented levels of innovation as customers choose Anthropics models augmented with multimodal skills leveraging all the tools they need to build and scale generative AI applications on Amazon Bedrock. Imagine sophisticated conversational assistants providing fast and highly-contextual responses, picture personalized recommendation engines that seamlessly blend in relevant images, diagrams and associated knowledge to intuitively guide decisions. Envision scientific research turbocharged by generative AI able to read experiments, synthesize hypotheses, and even propose novel areas for exploration. There are so many possibilities that will be realized by taking full advantage of all generative AI has to offer through Amazon Bedrock. Our collaboration ensures enterprises and innovators worldwide will have the tools to reach the next frontier of generative AI-powered innovation responsibly, and for the benefit of all.
Its still early days for generative AI, but strong collaboration and a focus on innovation are ushering in a new era of generative AI on AWS. We cant wait to see what customers build next.
Check out the following resources to learn more about this announcement:
Swami Sivasubramanian is Vice President of Data and Machine Learning at AWS. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services. His teams mission is to help organizations put their data to work with a complete, end-to-end data solution to store, access, analyze, and visualize, and predict.
- How researchers use machine learning to re-create chirps and trills produced by forest insects when Dinos - The Times of India - September 15th, 2026 [September 15th, 2026]
- Machine Learning Reshapes Credit Scoring - Communications of the ACM - September 13th, 2026 [September 13th, 2026]
- Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Information Theory Meets Machine Learning to Catch Industrial Cyberattacks - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Gets a Robustness Boost by Turning Labels into Preferences - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Meets X-Rays to Reveal the Hidden Architecture of Pea Seeds - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Predicts Which Women Will Face Early Ovarian Failure Within Three Years - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Cracks the Code of Nitinol Wear, a Metal That Remembers Its Shape - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Using machine learning to see how living brains learn - The University of Utah - September 8th, 2026 [September 8th, 2026]
- Applying causal machine learning to assess and improve cleantech policy design - Nature - September 8th, 2026 [September 8th, 2026]
- Frontier Tech Leaders Programme Celebrates First Machine Learning Bootcamp Graduation and AI for Sustainable Tourism Hackathon in Angola - United... - September 8th, 2026 [September 8th, 2026]
- From the Knowledge to machine learning: Wayve takes AI driving to London - IOT Insider - September 8th, 2026 [September 8th, 2026]
- Algorithm optimizes machine learning techniques that use linear, tunable resistor networks - AIP.ORG - September 2nd, 2026 [September 2nd, 2026]
- Math Modeling Seminar: Applications of Topological Data Analysis and Machine Learning Models in Predictive Biology and Drug Discovery | Events | RIT -... - September 2nd, 2026 [September 2nd, 2026]
- UC Berkeley Announces New Professional Graduate Degree in AI and Machine Learning - University of California, Berkeley - August 25th, 2026 [August 25th, 2026]
- DedeepyaYarraand the rise of Trustworthy AI: Where Machine Learning meets cybersecurity - India.com - August 25th, 2026 [August 25th, 2026]
- Machine learning smooths the road from idea to real-world climate impact - EurekAlert! - August 18th, 2026 [August 18th, 2026]
- Chris Latham Interviews Henry Zelikovsky, Founder & CEO of Softlab360: Successful Applications of AI/Machine Learning in Wealth Management -... - August 18th, 2026 [August 18th, 2026]
- Integrated data and machine learning transform lung cancer diagnosis and treatment - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Machine learning accelerates climate solutions from ideas to real-world impact - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity - Nature - August 16th, 2026 [August 16th, 2026]
- Quantitative Hedge Fund Strategies: The Machine Learning Revolution of 2026 - rebellionresearch.com - August 16th, 2026 [August 16th, 2026]
- Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds - bhpioneer.com - August 16th, 2026 [August 16th, 2026]
- Machine Learning Identifies Predictors of Weight Loss in Adolescents With Obesity - Bioengineer.org - August 16th, 2026 [August 16th, 2026]
- How AI is changing hurricane forecasting as scientists track storms with machine learning - Gulf Coast News and Weather - August 12th, 2026 [August 12th, 2026]
- Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings - Nature - August 12th, 2026 [August 12th, 2026]
- Identification of critical brain regions for young adults with obesity and their relationships with impulsivity using machine learning based on... - August 12th, 2026 [August 12th, 2026]
- UNIVERSITY OF ALBERTA Drones and machine learning team up to map forest soil health - Education News Canada - August 12th, 2026 [August 12th, 2026]
- Meet Millie Pradawong, the 14-year-old Virginia student using machine learning and CRISPR to make microal - The Times of India - August 7th, 2026 [August 7th, 2026]
- UWs Machine Learning for High School Teachers Workshop Enriches Classrooms - University of Wyoming - August 7th, 2026 [August 7th, 2026]
- Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach -... - August 7th, 2026 [August 7th, 2026]
- TN Agri Budget: Govt bets on AI, Machine Learning to deliver real-time assistance to farmers - ThePrint - August 7th, 2026 [August 7th, 2026]
- Machine Learning Identifies Cognitive Impairment From Patient Speech - Psychiatry Advisor - August 5th, 2026 [August 5th, 2026]
- The Evolution of AI and Machine Learning: Powering the Future of Energy - JPT Homepage - August 5th, 2026 [August 5th, 2026]
- How Machine Learning Is Reshaping Extended Detection and Response - Technology Org - August 5th, 2026 [August 5th, 2026]
- AI and machine learning roles boost Indias white-collar recruitment - Staffing Industry Analysts - August 5th, 2026 [August 5th, 2026]
- Machine learning narrows search for additional particles in the Higgs boson family - Phys.org - July 24th, 2026 [July 24th, 2026]
- F1 in Belgium: Machine learning algorithms are ruining the sport - Ars Technica - July 24th, 2026 [July 24th, 2026]
- Researchers use AI and machine learning to design two new promising blue TADF OLED emitters - OLED-Info - July 24th, 2026 [July 24th, 2026]
- Machine learning professor breaks down OpenAI model's hack of another AI company - CBS News - July 24th, 2026 [July 24th, 2026]
- Barlast Tests Folk Tradition and Machine Learning On Imitation Game - World Music Central - July 24th, 2026 [July 24th, 2026]
- Predicting Outcomes with Machine Learning | Mathematical Sciences | College of Arts & Sciences - University of Delaware - July 6th, 2026 [July 6th, 2026]
- Machine Learning in Public Health: A 3-day Intensive Workshop - American Public Health Association - July 6th, 2026 [July 6th, 2026]
- Tunable band-stop photodetection with machine learning-enabled broadband spectral adaptation - Nature - July 3rd, 2026 [July 3rd, 2026]
- Basic machine learning with lessR : Easy, simple, and free - Open Access Government - July 3rd, 2026 [July 3rd, 2026]
- QuadSci Named Machine Learning Company of the Year - MarTech Cube - July 3rd, 2026 [July 3rd, 2026]
- From Conventional to Intelligent Triage: A Systematic Review of Artificial Intelligence and Machine Learning Applications in Emergency Departments -... - July 3rd, 2026 [July 3rd, 2026]
- On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs - Apple Machine Learning Research - July 3rd, 2026 [July 3rd, 2026]
- Improving Wildfire Prediction with Machine Learning and Firebreaks - University of Reading - July 3rd, 2026 [July 3rd, 2026]
- A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms -... - June 24th, 2026 [June 24th, 2026]
- A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms - Yahoo... - June 24th, 2026 [June 24th, 2026]
- Undergrads gain hands-on machine learning experience in summer program - The Pennsylvania State University - June 24th, 2026 [June 24th, 2026]
- Python and Machine Learning: Why the Two Skills Are Increasingly Inseparable - BNO News - June 24th, 2026 [June 24th, 2026]
- Domino Data Lab Named a Visionary for the Third Consecutive Year in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine... - June 24th, 2026 [June 24th, 2026]
- Machine Learning Boosts Smart Thermochromic Window Efficiency - Bioengineer.org - June 24th, 2026 [June 24th, 2026]
- A.I. VS HUMAN ROAST BATTLE to Pit Machine Learning Against Live Rapper in SF - BroadwayWorld - June 16th, 2026 [June 16th, 2026]
- Machine learning gives the U.S. a 1% chance of winning the World Cup final in its own backyard - Fortune - June 16th, 2026 [June 16th, 2026]
- Machine Learning Reveals Genes That Help Yeasts Resist Stress - Department of Energy (.gov) - June 16th, 2026 [June 16th, 2026]
- Machine Learning Reveals AED Impact on LGG Prognosis - Bioengineer.org - June 16th, 2026 [June 16th, 2026]
- Introducing the Third Generation of Apples Foundation Models - Apple Machine Learning Research - June 12th, 2026 [June 12th, 2026]
- Machine learning model predicts T2D risk up to 10 years before onset - Managed Healthcare Executive - June 12th, 2026 [June 12th, 2026]
- GPU as a Service Market to Reach USD 14.4 Billion by 2033 at 16.0% CAGR, Fueled by Generative AI, Machine Learning, and Cloud Infrastructure Expansion... - June 12th, 2026 [June 12th, 2026]
- Machine learning-guided design of mechanoadaptive bioglues for multitissue trauma and first-aid applications - Nature - June 12th, 2026 [June 12th, 2026]
- OUCRU scientists are using machine learning to forecast the next dengue outbreak - tropicalmedicine.ox.ac.uk - June 12th, 2026 [June 12th, 2026]
- IIT Roorkee invites applications for 11th Batch of Data Science, Machine Learning & Generative AI Programme - Elets Technomedia - June 12th, 2026 [June 12th, 2026]
- RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem - Towards Data Science - June 3rd, 2026 [June 3rd, 2026]
- A reality check on the AI jobs hysteria - Machine Learning Week US - June 3rd, 2026 [June 3rd, 2026]
- STMicroelectronics Releases Vibration Sensor With Integrated Machine Learning for Industrial Monitoring - geneonline.com - June 3rd, 2026 [June 3rd, 2026]
- NAVER LABS Europe is offering a 2026 Research Internship in Large Language Models, focusing on AI Alignment, Controlled Generation, and Machine... - May 29th, 2026 [May 29th, 2026]
- Q&A: A Machine-Learning-Based Tool to Enhance Clinical Care of Patients With Multiple Sclerosis - Physician's Weekly - May 29th, 2026 [May 29th, 2026]
- Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review - Cureus - May 29th, 2026 [May 29th, 2026]
- HTC-19 Update: Artificial Intelligence and Machine Learning - Chromatography Online - May 29th, 2026 [May 29th, 2026]
- Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results... - May 29th, 2026 [May 29th, 2026]
- Machine Learning Personalizes Depression Treatment with the Help of Wearable Technology - UC San Diego Today - May 27th, 2026 [May 27th, 2026]
- How Machine Learning Makes Complex Knowledge Useable in Real-World Conditions - Supply & Demand Chain Executive - May 25th, 2026 [May 25th, 2026]
- How Airbnbs machine-learning tools aim to prevent Memorial Day weekend parties in Las Vegas - FOX5 Vegas - May 25th, 2026 [May 25th, 2026]
- Artificial Intelligence and Machine Learning in Hospital Quality Management, Patient Safety, and Accreditation Readiness: A Systematic Review and... - May 25th, 2026 [May 25th, 2026]
- Machine learning accelerates analysis of fusion materials - Technology Org - May 25th, 2026 [May 25th, 2026]
- Dr. Kaveh Heidary Presents Innovations in AI, Machine Learning and Multispectral Imaging - aamu.edu - May 25th, 2026 [May 25th, 2026]
- Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography... - May 25th, 2026 [May 25th, 2026]