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Introducing the LLM Mesh: A Common Backbone for Generative AI Applications

Dataiku

The answer is yes, via the LLM Mesh — a common backbone for Generative AI applications that promises to reshape how analytics and IT teams securely access Generative AI models and services.

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Benefits of the LLM Mesh, Part 1: Decoupling Application From Service Layer

Dataiku

At Everyday AI New York last September, Dataiku CTO and co-founder Clément Stenac shared our vision for the LLM Mesh , a common backbone for Generative AI applications in the enterprise.

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Introducing LLM Cost Guard, the Newest Addition to the LLM Mesh

Dataiku

When it comes to Large Language Models (LLMs) , many IT team leaders are trying to get a handle on the question “How much will it all cost?”

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Benefits of the LLM Mesh, Part 2: Enforcing a Secure API Gateway

Dataiku

With Generative AI top of mind for many companies, IT leaders have been tasked with figuring out how to make the most of this new technology through pilot use cases and experimentation.

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Secure and Scalable Enterprise AI: TitanML & the Dataiku LLM Mesh

Dataiku

This article was written by our friends at TitanML. TitanML’s Takeoff powers secure, scalable Generative AI solutions for text, image, and audio applications for leading enterprises, enabling rapid deployment from demo to production.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

This allows ASUS to fully exploit the most advanced NVIDIA technologies, including the Grace Hopper Superchip and the Grace CPU Superchip, and NVIDIA’s NVLink–C2C, a direct GPU-to-GPU mesh interconnect that scales multi-GPU input/output (IO) within the server. ASUS MGX servers easily integrate with enterprise and cloud data centers.

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Benefits of the LLM Mesh, Part 3: Protecting Sensitive Data

Dataiku

With the explosion of Generative AI and Large Language Model (LLM) usage rapidly transforming the landscape of AI, so too has emerged increased scrutiny over how these models handle sensitive data.