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Mistral AI in Amazon Bedrock
Break new ground with powerful foundation models from Mistral AI
Meet Mistral AI
Mistral AI is making generative AI accessible to all developers and enterprises, with a strong focus on portability, customization, and efficiency. Its cutting-edge models reflect the company's ambition to become the leading supporter of the generative AI community, and elevate publicly available models to state-of-the-art performance. With Mistral AI models in Amazon Bedrock, customers can experience built-in security, comprehensive AI tools, and a clear path from proof of concept to production. Hear from Marjorie Janiewicz, Mistral’s Global Head of Revenue and US General Manager, as she discusses what makes Mistral’s partnership with AWS unique.
Benefits
With Mistral AI models in Amazon Bedrock, you get enterprise-grade security features, comprehensive AI development tools, and a clear path from proof of concept to production. This integration provides built-in security controls and seamless access to AWS's full suite of AI capabilities.
Mistral AI models are transparent, customizable, and accessible to organizations of all sizes. This helps meet regulatory requirements and makes it easier to integrate generative AI features into your applications while maintaining compliance standards.
Mistral models offer an excellent balance of cost and performance with fast inference speed and low memory requirements. This makes them highly suitable for scaling production use cases while optimizing costs—particularly important for high-volume, low-latency workloads.
Amazon Bedrock provides access to multiple Mistral AI models through a single API. This gives you the flexibility to select the optimal model for each specific use case, whether you need complex reasoning, multilingual support, code generation, or efficient text processing
Use cases
Mistral models on Amazon Bedrock enable the creation of sophisticated multi-agent systems that can work together to solve complex problems through collaborative reasoning. These systems can handle tasks requiring advanced reasoning capabilities, multilingual understanding, and integration with external tools through function calling. Applications include travel planning systems, data analysis automation, and enterprise workflows that require humanlike reasoning and decision-making.
Assistance Mistral models demonstrate exceptional coding capabilities across multiple programming languages including Python, Java, C, C++, JavaScript, and Bash. They can generate code snippets, suggest bug fixes, optimize existing code, and assist with code completion tasks. This makes them particularly valuable for accelerating development processes, modernizing legacy code, and automating repetitive coding tasks.
With context windows up to 256K tokens, Mistral models can process extensive documents including regulatory filings, insurance forms, legal contracts, and research papers. They excel at extracting key information, generating summaries, and enabling downstream analysis. This capability is especially useful for organizations dealing with manual document processing that needs to scale while maintaining high accuracy.
Mistral models excel at handling complex customer queries through AI-powered support systems. You can build automated customer support solutions that categorize tickets, extract information from both text and images, generate context-aware responses, and even detect fraud. The models' multilingual capabilities and function calling features make them ideal for global customer service operations that need to scale efficiently.
Customers
Too Good To Go Reduces Food Waste with Mistral AI and AWS
Discover how TooGoodToGo uses Mistral AI models and Amazon Bedrock to gain deep insights into store retention, improve onboarding, and make their marketplace more intuitive, for a future with less food waste.
BigDataCorp uses Mistral AI to reduce analysis costs by 50%
Thoran Rodrigues, CEO of BigDataCorp, describes how the company launched a solution that leverages Mistral AI models in Amazon Bedrock in less than a month. Their solution, Generative Biography, converts structured information that was previously delivered in spreadsheets into text. The product was launched in 20 days—from conception to operation—and has already resulted in a 50% reduction in decision-making costs.
Zalando
"At Zalando, accessing Mistral AI models in Amazon Bedrock has been a game-changer for our multinational operations across Europe. Mistral Large provides exceptional support and native fluency for European languages that empowers our diverse workforce to communicate seamlessly, fostering collaboration and inclusivity by using the models to draft emails in German, French, and other languages. Personally, the model’s German language capabilities have greatly aided my own language learning journey. Mistral's multilingual accuracy and nuanced understanding of grammar and cultural context paired with Amazon Bedrock's secure and serverless single API allows us to deliver exceptional service to our customers across the region."
Samay Kapadia, ML Engineering Manager, Zalando
SuperInsight
"At Superinsight, we process thousands of medical records for individuals in need. By leveraging the Mistral 7B model in Amazon Bedrock, we can efficiently extract data and uncover insights 10x faster, 25x cheaper, and identify 3x more insights that humans often miss, which is crucial in our business since any overlooked evidence can impact the outcome of each case. This powerful combination allows us to deliver superior medical reviews to our attorneys, enabling them to assist more people with disabilities."
Nelson Chu, CEO, Superinsight
