NadMesh Targets Exposed Ollama, ComfyUI, and n8n for Cloud Keys
A Go-based botnet is scanning exposed Ollama, ComfyUI, n8n, Open WebUI, Langflow, and Gradio instances for AWS keys and Kubernetes tokens, QiAnXin XLab says.
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VKUE: Can a 34.7B Reasoner Run on a Laptop Without a GPU?
VIDRAFT_LAB posts Ourbox-35B-JGOS to Hugging Face: 20 tok/s on an 8GB laptop GPU, ~17 tok/s on a CPU-only server, 86.4% on GPQA Diamond.
Self-Host Your Own AI Code Assistant With Continue and Ollama
Ditch GitHub Copilot's $19/month subscription. Set up Continue.dev with Ollama for private, local AI code completion in VS Code — zero data leaves your machine.
AI Security Roundup: One Million Exposed Services and the Teenager Problem
Intruder scanned 2 million hosts and found 1 million exposed AI services with no authentication. Plus: teenagers are using ChatGPT to hack governments, and OpenAI launches Daybreak.
Self-Host Your Own AI Code Completion With Continue and Ollama
Ditch GitHub Copilot's $10/month subscription. Set up free, private AI code completion in VS Code using Continue.dev and Ollama — runs entirely on your hardware.
Open Source AI Wins: DeepSeek V4 Narrows the Gap, Apache 2.0 Becomes the Default, and Ollama Hits 52 Million Downloads
DeepSeek V4 Pro approaches frontier-level performance. Google, Mistral, and Alibaba ship under Apache 2.0. Ollama hits 52 million monthly downloads.
How to Build a Private RAG Chatbot With Open WebUI and Ollama
Chat with your own documents locally — no cloud, no subscriptions, no data leaving your machine. Step-by-step setup guide.
Self-host Vane (formerly Perplexica) to replace Perplexity with a private AI search engine
After the Perplexity class-action over leaked chats to Meta and Google, here's how to run a citation-grounded AI answer engine on your own hardware with Ollama and SearXNG.
Open-Weight LLM Showdown: GTC Pivots to Inference, DeepSeek V4 Still MIA
Jensen Huang bets on inference chips, Ollama adds multimodal support, and DeepSeek V4 remains the most anticipated release that hasn't happened yet.
Best Local AI Agent Models 2026: Tool Use by GPU Tier
Which local models can actually use tools, call functions, and run multi-step workflows? Function-calling and TAU-bench picks from 8GB to 32GB VRAM.
Best Local Models for Chat in 2026: Every VRAM Tier Tested
Head-to-head comparison of local chat and assistant models from 8GB to 32GB VRAM. Current picks: Qwen3.5, Gemma 4, GPT-OSS, Qwen3.6, and GLM-4.7-Flash.
Best Local Models for Coding in 2026: Every VRAM Tier Tested
Which open-weight coding model to run locally? HumanEval and SWE-bench picks from 8GB to 32GB GPUs, with IDE setup. Qwen2.5-Coder, Qwen3.6, Devstral.
Best Local Models for Translation in 2026: Every VRAM Tier Tested
From TranslateGemma to LLM-based translation with Qwen and Aya Expanse. Privacy-first alternatives to Google Translate and DeepL, tested per GPU tier.
Best Local Vision Models 2026: Every GPU Tier Tested
Run image analysis, document OCR, and visual reasoning locally. Qwen3-VL, InternVL3.5, Molmo2, and MiniCPM-V tested from 8GB to 32GB VRAM.
llama.cpp Joins Hugging Face: What It Means for Local AI's Future
Georgi Gerganov's team is now at Hugging Face, unifying the model hub with the inference engine that powers Ollama, LM Studio, and the entire local AI ecosystem.
12GB VRAM: Every AI Task You Can Run Locally in 2026
Complete guide to running local AI on 12GB GPUs - chat, coding, translation, vision, speech, and agents. The comfortable tier for RTX 3060 12GB and RTX 4070.
16GB VRAM: Every AI Task You Can Run Locally in 2026
Complete guide to running local AI on 16GB GPUs - chat, coding, translation, vision, speech, and agents. The sweet spot for RTX 4060 Ti, RTX 5060, and Arc A770.
32GB VRAM: Every AI Task You Can Run Locally in 2026
Complete guide to running local AI on 32GB GPUs - chat, coding, translation, vision, speech, and agents. The new frontier with RTX 5090. Near-lossless quantization and 70B models on a single card.
24GB VRAM: Every AI Task You Can Run Locally in 2026
Complete guide to running local AI on 24GB GPUs - chat, coding, translation, vision, speech, and agents. Where local models start competing with cloud APIs. RTX 3090 and RTX 4090.
8GB VRAM: Every AI Task You Can Run Locally in 2026
Run local AI on 8GB GPUs - chat, coding, vision, speech, and agents. Current model picks and honest limits for RTX 4060, RTX 3070, and similar cards.
Apple M5 Max Makes 70B Parameter LLMs a Laptop Reality
The new MacBook Pro with M5 Max can run large language models entirely on-device, keeping your AI interactions private and offline
Qwen 3.5 Small Models: Run Vision AI on Your Laptop Without Sending Data to the Cloud
Alibaba's new 0.8B to 9B parameter models deliver GPT-class multimodal performance on consumer hardware, with the 9B variant outperforming models 13 times its size
Nvidia's Nemotron 3: The First Open-Source Model Worth Running Locally in 2026
Nvidia open-sources a 30B-parameter reasoning model that runs on consumer GPUs with a million-token context window. Here's what makes it different.
OpenClaw + Ollama: Run Your Own Private AI Agent Without Cloud APIs
Ollama's new OpenClaw integration lets you run AI agents locally through WhatsApp, Telegram, or Slack. Here's how it works, what you need, and the security risks nobody mentions.