Mistral AI Suite aims to provide AI productivity your team needs, in one platform, is fully private, and deeply customizable. Plus, our world-class AI engineering team offers support all the way through to value delivery. Empower your team to be even more productive, more competitive, more everything. Unified AI for all organizational work: Transform complex tasks into achievable outcomes with AI that speaks every professional language. Whether your team is analyzing data, writing code, or creating content, they can access cross-domain expertise through intuitive interfaces designed for both technical and non-technical users. Enterprise search with secure data, tool connections and libraries: Unlock intelligence from your enterprise data, starting with Google Drive, Sharepoint, OneDrive, Google Calendar, and Gmail. With more connectors coming soon, including templates to build your own: - Get improved, personalized answers by connecting Le Chat to your knowledge. - Organize external data sources, documents, and web content into complete knowledge bases for the most relevant answers. - Preview files quickly with Auto Summary for faster consumption. Build and deploy custom AI agents for precise, automated task handling: Automate routine tasks with AI agents, connected to your apps and libraries for contextual understanding across tools. Le Chat will enable your team to easily build custom assistants that match your own requirements - no code required. Complete control and configurability: We offer deep customizability and full control across the stack, from models and the platform, all the way to the interfaces. You can customize your AI experience through bespoke integrations to your team's enterprise data and custom platform and model capabilities, like personalizing your assistant with stored memories. Or take it further by enabling user feedback loops for continuous model self-improvement. You'll have full control of your implementation within your security domain while providing employees access to SOTA intelligence. Additionally, we provide comprehensive audit logging and storage.
Highlights
Unified AI for All Organizational Work: Mistrai AI Suite offers a versatile AI solution that caters to various professional tasks, including data analysis, coding, and content creation. It is designed to be accessible for both technical and non-technical users, making complex tasks more manageable and productive across different domains.
Enterprise Search with Secure Data Connections: Mistral AI Suite enhances productivity by unlocking intelligence from enterprise data sources such as Google Drive, SharePoint, and Gmail. It allows for the organization of external data into comprehensive knowledge bases, providing personalized and relevant answers quickly through features like Auto Summary for efficient file previews.
Custom AI Agents and Full Control: Users can build and deploy custom AI agents to automate routine tasks without needing coding skills. Mistral AI Suite offers deep customizability and full control over the AI experience, including bespoke integrations and model capabilities. It ensures security and compliance with comprehensive audit logging and storage, all within the user's security domain.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract pricing model with a single dimension: Units. You set the quantity to 1, so there are no tiers, instance sizes, or usage-based add-ons to choose from. Pricing is fixed to that one unit of Mistral AI Studio, the self-hosted platform for building and running AI systems on your own infrastructure. Because there is only one billable dimension, cost does not scale with usage metrics like tokens or users inside this listing. You commit to the single unit for the contract term.
Top-of-mind questions for buyers
What does one Unit of Mistral AI Studio actually provide?
One Unit represents a single license of the self-hosted Mistral AI Studio platform. You run it on your own infrastructure, keeping data inside your perimeter. It includes the tools to build, deploy, and govern AI agents and workflows across cloud or on-premises environments. The listing expects the quantity set to 1.
Does my cost change as I add more users, tokens, or workloads?
No. This listing bills one fixed Unit, so cost does not scale with tokens, users, or requests. Because the platform is self-hosted, you supply and pay for your own underlying infrastructure separately. The single Unit covers the software license only, not the compute you run it on.
What is included in the self-hosted deployment I license through this Unit?
The Unit covers the self-hosted platform for building agentic AI systems. You get connectors to data sources, experiments for testing models, observability, guardrails, moderation, and an AI registry for models and workflows. Everything runs inside your own infrastructure, giving you control over data residency.
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Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Mistral AI Suite (2026.2.1) - Self Hosted
Additional details
Usage instructions
Refer to the documentation for step-by-step instructions on how to deploy and use the Mistral AI Suite on AWS. Contact Mistral AI support for any issues or questions.
Support
Vendor support
Visit the Mistral AI Help Center to search articles, best practices, and solutions to get up and running with Mistral AI. Learn more https://help.mistral.ai/en/
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
This product has charges associated with it for seller support. It supports multi-provider chat, memory, embeddings, and local model integration on Linux.
This is a repackaged open source software product with optional support from Meetrix.io.
At Meetrix, we have preconfigured an OpenAI API compatible AMI package for Mistral AI 7B as a Multi Model LLM Bundle for x86, which is a compact powerhouse of AI capabilities that can seamlessly switch between different models based on your requirements. This Amazon Machine Image is very easily deployable without devops hassle. Surpassing Llama 2 13B across all benchmarks, Mistral 7B consists of natural coding abilities and an impressive 8k sequence length. With the SSL auto generation and preconfigured OpenAI API integration, our Mistral AI 7B AMI is the perfect alternative for costly solutions such as GPT-4 or Bard.
This product has charges associated with it for seller support. Run & Manage latest LLMs locally, privately, securely and cost-effectively without any vendor lock-in.
This VM solution comes pre-loaded with LLaMA, Mistral, Gemma, DeepSeek, & Qwen models along with Open-WebUI as an intuitive UI to interact with the LLMs and Ollama to install new models as needed.
This deployment package enables seamless hosting of the mistralai/Mistral-7B-Instruct-v0.3 language model on Intel® Xeon® processors using the VLLM CPU-optimized Docker image. Designed for efficient inference on CPU-only environments, this solution leverages vLLM lightweight architecture to deliver fast and scalable performance without requiring GPU acceleration. Ideal for enterprise-grade NLP tasks, it offers a cost-effective and accessible way to run large language models on Intel-powered infrastructure.
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