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AWS launch Anthropic Claude 3 Opus on Amazon Bedrock

Seattle | Published in AI | 10 minute read |     

This just in! Anthropic’s Claude 3 Opus foundation model is now available on Amazon Bedrock, joining Claude Sonnet and Claude Haiku. Bedrock is now the first and only place to offer all three Claude 3 models in general availability.

Claude Opus 3 is the best-performing foundation model (based on multiple industry benchmarks). It is Anthropic’s most intelligent model, with best-in-industry performance on highly complex tasks; navigating open-ended prompts and sight-unseen scenarios with almost human-like understanding and fluency.

Combined with Bedrock’s security, grounding, alignment, and guard rail capabilities - and currently being the only managed service offering all three Claude 3 models; Opus, Sonnet, and Haiku – in GA - there has never been a better time to give generative AI a try.

With its exceptional capabilities in understanding and generating human-like responses, Claude 3 Opus empowers businesses to unlock a world of possibilities. From automating intricate processes and conducting sophisticated financial forecasts to accelerating research and development across multiple sectors and sparking innovative ideas through seamless brainstorming sessions. Businesses everywhere can take advantage of these features now.

Whether you’re seeking to streamline operations, drive cutting-edge innovations, or explore uncharted territories, now is the perfect time to unleash the full potential of Claude 3 Opus on Bedrock. You will be amazed by the remarkable capabilities of Anthropic’s latest model.


About the Author

Mario Thomas is a Chartered Director and Fellow of the Institute of Directors (IoD) with nearly three decades bridging software engineering, entrepreneurial leadership, and enterprise transformation. As Head of Applied AI & Emerging Technology Strategy at Amazon Web Services (AWS), he defines how AWS equips its global field organisation and clients to accelerate AI adoption and prepare for continuous technological disruption.

An alumnus of the London School of Economics and guest lecturer on the LSE Data Science & AI for Executives programme, Mario partners with Boards and executive teams to build the knowledge, skills, and behaviours needed to scale advanced technologies responsibly. His independently authored frameworks — including the AI Stages of Adoption (AISA), Five Pillars of AI Capability, and Well-Advised — are adopted internationally in enterprise engagements and cited by professional bodies advancing responsible AI adoption, including the IoD.

Mario's work has enabled organisations to move AI from experimentation to enterprise-scale impact, generating measurable business value through systematic governance and strategic adoption of AI, data, and cloud technologies.