AirLLM: Run 70B Models on a 4GB GPU — Hype vs Reality
AirLLM runs 70B LLMs on a single 4GB GPU via layer-wise inference — no quantization needed. We test the claims, measure tradeoffs, and compare alternatives.
AirLLM runs 70B LLMs on a single 4GB GPU via layer-wise inference — no quantization needed. We test the claims, measure tradeoffs, and compare alternatives.
Google Gemma 4 delivers frontier-level open AI in four sizes under Apache 2.0. 31B scores 89.2% on AIME 2026, ranks #3 on Arena AI, and runs locally.
A deep dive into OpenCoder — its architecture, benchmarks, real-world deployments, and how to run it securely in production.
Learn how to install, configure, and master LM Studio — the free desktop app that lets you run open-source large language models locally with full GPU acceleration and zero cloud dependency.
AI-driven Security Operations Centers (AI SOCs) are transforming cybersecurity with autonomous agents, faster response times, and open-source innovation. Let’s explore the breakthroughs reshaping digital defense.
One email per week — courses, deep dives, tools, and AI experiments.
No spam. Unsubscribe anytime.