Category: AI
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OpenAI Math Breakthrough: What It Means for Private AI
OpenAI claims it solved a decades-old math problem. What it means for business, and why private on-premises AI is the safer path for sensitive business data.
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DGX Spark Cluster: From Two Sparks to a Switched Fabric
How to go from two DGX Sparks to a switched four-node GB10 cluster: the CRS812 breakout trap, 196 Gb/s RoCE measured, four-node vLLM results, and a free guide.
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Mac Studio M5 Ultra vs NVIDIA DGX Spark for Local AI
Apple's M5 Ultra Mac Studio delivers 1.2 TB/s against the DGX Spark's 273 GB/s. We compare both for local LLM work and correct the FIPS compliance myth.
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Why your local LLM feels dumber than it is
Local LLMs often feel weaker than cloud models. The real causes are architectural tradeoffs, retrieval mechanics and security boundary decisions.
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What happens when an LLM never sees material beyond fifth grade?
Language models restricted to fifth grade reading show how training data defines capability. Why curation, provenance and validation matter.
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Artificial Intelligence: Ars Notoria and Instant Knowledge
The allure of acquiring vast knowledge without laborious study is as old as civilization. Ars Notoria promised rituals for instant mastery.
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AI Data Residency Requirements: Keep Data In-Country
AI data residency explained: which regulations require in-country AI processing, where hosted AI breaks compliance, and how to keep models and data local.
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Private AI Inference: Run LLMs On-Prem and Keep Data In-House
How to run LLM inference on-premises: hardware sizing, software stack, security, and the compliance case for keeping AI data in-house.
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Is Gmail HIPAA Compliant? The Honest Answer for Healthcare Teams
Is Gmail HIPAA compliant? Free consumer Gmail is not, and Google will not sign a business associate agreement for a personal @gmail.com account.
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Pi.dev Review: Hands-On Look at the Pi Coding Agent
Explore pi dev in this hands-on review of the Pi coding agent. Learn about its open-source features, model support, data handling, and fit for regulated teams.
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CNBC's Jim Cramer Says He Needs 'Cold Hard' Proof AI Is Paying Off
Jim Cramer wants cold hard proof AI is paying off. Why ROI skepticism matters and how to measure real returns on AI projects.
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Two RTX 5090 32GB GPUs For Sale: Tested and Local-AI-Ready
No longer for sale: the two used RTX 5090 32GB GPUs we listed for local AI have been returned to our own fleet. Original listing and local AI guidance inside.
