Local LLMs

Self-hosted, privacy-first inference · 6 articles

Self-hosted inference, GGUF / llama.cpp, Ollama, hardware setups and privacy-first AI stacks.

Local LLMsJun 2, 2026 2 min read

NVIDIA JetPack seven point two introduces hardware-accelerated memory optimization for edge agentic artificial intelligence

NVIDIA has released JetPack 7.2, introducing advanced memory efficiency and performance enhancements for edge devices. This update allows developers to deploy fully local, agentic AI systems on Jetson hardware.

Why it matters

JetPack 7.2 enables you to build zero-latency, private, and fully local agent workflows on edge devices without cloud API dependencies.

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Local LLMsMay 31, 2026 2 min read

Rotary GPU technique enables local execution of Mixture of Experts models under limited VRAM

The Rotary GPU technique optimizes VRAM during local Mixture of Experts model execution. By dynamically swapping active layers via PCIe, developers can run large models on consumer GPUs. Run 8x22B models locally.

Why it matters

By enabling large Mixture of Experts execution on standard consumer GPUs, this technique lets you run high-quality local reasoning models without paying API fees.

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Local LLMsMay 30, 2026 2 min read

Kog AI Achieves Real-Time Large Language Model Inference at Three Thousand Tokens Per Second on Consumer Graphics Processing Units

Kog AI has demonstrated local inference speeds of three thousand tokens per second on consumer-grade hardware. This breakthrough relies on advanced speculative decoding and prefix caching. This drastically reduces local response latencies.

Why it matters

You can now run blazingly fast local code generation pipelines offline, matching or beating cloud API speeds without ongoing operational costs.

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Vector DB — Postgres, built for AI

Vector search, elastic scaling and a free tier for side-projects. Spin up a database for your RAG in 60 seconds.

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Local LLMsMay 27, 2026 2 min read

Building lightweight Web scraping agents for alternative protocols beyond HTTPS

An exploration of using Gopher, Gemini, and Finger protocols to build highly efficient, text-only data streams for AI agent consumption. The key takeaway is that text-based protocols eliminate the need for heavy HTML parsing and javascript rendering.

Why it matters

It shows you how to bypass complex web scraping setups by targeting text-only networks that are perfectly structured for instant language model ingestion.

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Local LLMsMay 26, 2026 2 min read

Qwen3.5-35B Heretic Model Preserves Multi-Token Prediction for Lightning Fast Local Generation

A fine-tuned Qwen 3.5 model arrives with native Multi-Token Prediction heads preserved, ensuring fast local inference. Use NVFP4 or GGUF formats to run it on consumer GPUs for uncensored coding tasks.

Why it matters

You can now run a highly competent 35B coding model on a consumer GPU at nearly twice the standard speed using hardware-optimized quantization formats.

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Local LLMsMay 26, 2026 2 min read

Running Local Large Language Models on Multi-GPU Clusters for Secure Legal Drafting

An architecture pattern demonstrates how a cluster of 12 enterprise V100 GPUs can be networked together to run large-scale local LLMs for private document automation and drafting.

Why it matters

You can salvage older enterprise hardware to run ultra-large coding and reasoning models locally, avoiding cloud compliance issues and recurring token fees.

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