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Microsoft’s New Deal With Mistral AI

By Adam Pease

 

Microsoft’s New Deal With Mistral AI

Microsoft has just announced a partnership with French AI provider Mistral.

This blog discusses Mistral and the implications of the deal for the generative AI market.

Who Is Mistral?

Mistral is a French AI model provider largely known for its release of open source large language models (LLMs). Mistral’s LLMs have scored competitively on a variety of benchmarks, offering even the leading productized models, like ChatGPT, a run for their money.

While Mistral began as an open-source model provider, some of its recent moves appear to suggest a pivot similar to the product-oriented direction of OpenAI. Mistral’s new, larger models are no longer open-sourced. It will be interesting to see whether Mistral continues to lean in this direction as it scales in partnership with Microsoft, or if it attempts to balance open-source research with proprietary products.

The Microsoft Partnership

The new partnership will bring the underlying infrastructure power of the Microsoft Azure compute cloud to Mistral’s models. As researchers struggle to accelerate the performance of compute-hungry LLMs, startups that want to build foundation models from the ground up, like Mistral, must find ways to support the large GPU requirements.

The partnership itself makes Mistral’s model services available through the Azure AI services cloud, announcing research and scaling of AI systems as parallel goals. With this move, Microsoft cements its leadership as an AI model provider. The move may even invite regulatory scrutiny, as Microsoft now arguably controls the distribution of both the state-of-the-art closed-source provider (OpenAI) and the state-of-the-art closed-source provider (Mistral).

Bottom Line

The deal benefits Microsoft’s consolidation of AI services under Azure, while also providing Mistral the opportunity to bootstrap its systems to greater scale in a time of scarce compute.


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This blog is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 35: Zoom’s New Generative AI Push

Blog 36: Google Will Flag AI-Generated Content

Blog 37: Writer Is Helping Bring Generative AI to the Enterprise

Blog 38: ChatGPT Gains Internet Access

Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation

Blog 40: AI’s Integration into Modern Healthcare

Blog 41: Nvidia and the Escalating Chip War With China

Blog 42: Universal Music Group Takes Anthropic AI to Court for Copyright Infringement

Blog 43: OpenAI Extends ChatGPT Cut-Off Window

Blog 44: OpenAI Introduces Custom GPTs

Blog 45: Meta Dissolves Responsible AI Team Amidst OpenAI Shakeup

Blog 46: Generative AI and the Workforce: Klarna Freezes Hiring to Focus on AI Productivity

Blog 47: New Google Paper Exposes ChatGPT Security Risks

Blog 48: Will AI Newscasters Take Over?

Blog 49: The Smart Water Bottle | Tech Gifts for 2024

Blog 50: Looking Forward to Generative AI in the New Year

Blog 51: Nvidia Makes Play for AI-At-Home with New Chip Line

Blog 52: AI Convincingly Mimics Human Handwriting

Blog 53: AI and the Future of Work: Navigating Through Change

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