Blog

Latest insights on trustworthy AI governance and regulatory change.

June 16, 2025

ConfidentialMind Adds NVIDIA NIM Support

ConfidentialMind announces native support for NVIDIA NIM microservices to simplify secure, enterprise-scale LLM deployment across environments.

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April 4, 2025

Introducing CM PurplePill: Kubernetes GPU Monitoring Solution

CM PurplePill is a lightweight Prometheus exporter that reveals per-pod GPU usage in Kubernetes—even without explicit GPU resource requests.

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February 19, 2025

Building Advanced RAG Pipelines For High Accuracy Output

How to move beyond basic RAG: query rewriting, contextual summarization, hybrid BM25 + embeddings, and re-ranking—plus why a modular architecture matters.

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February 12, 2025

Using BM25 to Optimize Q&A and Search Accuracy

What BM25 is, how the scoring function works, where it shines and where it doesn’t—and how combining BM25 with embeddings and re-ranking improves RAG pipelines.

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December 10, 2024

Case Study | Generative AI in Education & Research: Centria University of Applied Sciences

How Centria University of Applied Sciences uses a secure, on-prem generative AI platform to power R&D projects across diverse sectors while protecting sensitive data.

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December 10, 2024

Case Study | RAIN.Global: Generative AI for telecommunications

How RAIN.Global integrated secure, on-prem generative AI into telco tower management using the ConfidentialMind platform.

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December 10, 2024

Case Study | Elastx: Generative AI for a Cloud Computing Provider

How Elastx integrated a secure, multi-tenant RAG stack and shared LLM services into its managed Kubernetes platform to meet rising AI demand from Nordic SaaS customers.

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September 13, 2024

Embedding Models Explained: The Reason AI Can ‘Read’ and ‘Listen’

Embedding models transform data such as words, sentences, or images into numbers so that LLMs can understand their relationships—foundational to search, RAG, and generative AI.

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July 13, 2023

Introducing ConfidentialMind

Why we’re building a secure, open-source–first AI stack that lets companies deploy powerful language models next to their most valuable data.

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