AI Deployment

Raphaël Millet 16 Jul 2024

Paid Members Public

Choosing your GPU stack to deploy Confidential AI

In this article, we provide you with a few hints on how to choose your stack to build a confidential AI workload leveraging GPUs. This protection is meant to safeguard data privacy and model weights confidentiality.

Daniel Huynh 11 Dec 2023

Paid Members Public

Mithril Security is supported by OpenAI Cybersecurity Grant to build Confidential AI.

Mithril Security has been awarded a grant from the OpenAI Cybersecurity Grant Program. This grant will fund our work on developing open-source tooling to deploy AI models on GPUs with Trusted Platform Modules (TPMs) while ensuring data confidentiality and providing full code integrity.

Daniel Huynh 01 Aug 2023

Paid Members Public

The Enterprise Guide to Adopting GenAI: Use Cases, Tools, and Limitations

Generative AI is revolutionizing enterprises with enhanced efficiency and customer satisfaction. The article explores real-world applications and deployment options like SaaS, on-VPC commercial FMs, and on-VPC open-source FMs, emphasizing the need for data protection.

Raphaël Millet 04 Nov 2022

Paid Members Public

Deploy Zero-trust Diagnostic Assistant for Hospitals

Improving Hospital Diagnoses: How BlindAI and BastionAI Could Assist

Daniel Huynh 13 Sep 2022

Paid Members Public

Presenting Mithril Cloud, the First Confidential AI as a Service Offering

Discover how BlindAI Cloud enables you to deploy and query AI models with privacy, just from 2 lines of Python code. Try our solution with the deployment of a ResNet model.

Daniel Huynh 10 Aug 2022

Paid Members Public

Large Language Models and Privacy. How Can Privacy Accelerate the Adoption of Big Models?

We will see why security and privacy might facilitate the adoption of Large Language Models, as those vast models push towards centralisation, given the complexity of deploying them at scale.