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Databricks makes an investment in Mistral, integrating its AI technologies into the data intelligence platform.

ByYasmeeta Oon

Mar 17, 2024
Databricks makes an investment in Mistral, integrating its AI technologies into the data intelligence platform.

Databricks makes an investment in Mistral, integrating its AI technologies into the data intelligence platform.

In a significant development for the artificial intelligence (AI) and data infrastructure realms, Databricks has officially announced its strategic partnership with Mistral, a Paris-based startup rapidly gaining attention in the global AI community. This collaboration promises to enrich Databricks’ offerings with cutting-edge large language models (LLMs), thereby amplifying the potential applications of generative AI across industries.

  • Investment and Integration: Databricks has made a strategic investment in Mistral, contributing to its Series A funding round. This investment underscores the partnership’s depth, with Databricks not only providing financial backing but also integrating Mistral’s select LLMs into its data intelligence platform.
  • Enhanced AI Capabilities: The partnership focuses on bringing Mistral’s highly performant LLMs directly to Databricks’ users, facilitating seamless utilization of generative AI applications without compromising the platform’s existing security, privacy, and governance standards.
  • Strategic Growth: For Mistral, this partnership represents another step in its aggressive expansion strategy, which includes recent collaborations with Snowflake and Microsoft. Such alliances highlight Mistral’s growing influence in the AI sector and its commitment to open sourcing its models.

At the heart of this partnership is the integration of two of Mistral’s LLMs: Mistral 7B and Mixtral 8x7B. These models, both open-source, are set to be natively integrated into the Databricks Data Intelligence Platform.

  • Mistral 7B: A compact yet powerful 7 billion parameter transformer model, optimized for efficient serving with an 8k context length.
  • Mixtral 8x7B: A more complex sparse mixture of expert models (SMoE), designed for extensive context lengths up to 32k, capable of processing multiple languages including English, French, Italian, German, and Spanish. This model surpasses benchmarks set by Meta’s Llama 2 70B and OpenAI’s GPT-3.5, offering quicker inference times.

These models are now accessible on the Databricks platform marketplace, complete with detailed descriptions of their capabilities and potential applications.

Databricks emphasizes flexibility in how its users can engage with Mistral’s models:

  • Mosaic AI Playground: A feature allowing users to experiment with the models within a controlled environment.
  • Mosaic AI Model Serving: Provides optimized model endpoints for efficient deployment.
  • Mosaic AI Foundation Model Adaptation: Offers customization options for businesses to tailor the models with their proprietary data, aiming at specific use cases.

This integration offers Databricks customers a comprehensive toolkit for developing, testing, and deploying generative AI applications, marking a significant enhancement in the platform’s capabilities.

While this partnership significantly bolsters Databricks’ AI offerings, it’s worth noting the absence of Mistral Large from the current integration. Mistral Large is another highly touted model from Mistral, recognized for its proficiency in five languages and a 32K token context window, which has already been adopted by Snowflake. Databricks has not yet announced plans for its integration, but the company’s current lineup includes other notable models like Meta’s Llama-2 and Stable Diffusion XL.

Mistral’s partnership network extends beyond Databricks and Snowflake, showcasing the startup’s ambition and its rapidly growing footprint in the AI domain. Notable partnerships include a significant investment from Microsoft, making Mistral’s models available on the Azure cloud platform, and collaborations with IBM and Amazon. These alliances underline Mistral’s strategic positioning as a key player in a market dominated by giants like OpenAI, Anthropic, and Google.

Strategic Implications:
  • For Databricks: This partnership enhances its data intelligence platform with advanced AI capabilities, offering customers new avenues to leverage their data for generative AI applications.
  • For Mistral: Aligning with Databricks and other tech leaders accelerates Mistral’s growth and cements its status in the competitive AI landscape.
  • For the Industry: The collaboration between Databricks and Mistral underscores the increasing convergence of data infrastructure and AI technologies, signaling a shift towards more integrated and versatile tech ecosystems.

The alliance between Databricks and Mistral is more than a mere partnership; it’s a strategic move that blends data infrastructure with advanced AI, paving the way for innovative applications and solutions. As these technologies continue to evolve, their integration will undoubtedly unlock new possibilities for businesses and consumers alike, shaping the future of how we interact with and leverage data-driven insights.

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Featured Image courtesy of DALL-E by ChatGPT

Yasmeeta Oon

Just a girl trying to break into the world of journalism, constantly on the hunt for the next big story to share.

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