Local & Open-Weight Models
Deployment-focused content for open-weight models — running Gemma, Qwen, etc. locally, on phones, laptops, edge devices. Setup guides, hardware requirements, deployment patterns. Single-model reviews and explainers go under AI Model Reviews & Comparisons instead.
How to Use NVIDIA NIM Free Models in Your AI Workflows
NVIDIA NIM offers free models like GLM 4.7 via API. Learn how to connect them to Claude Code or any agentic tool to reduce costs without sacrificing capability.
How to Use Ollama to Run AI Models Locally for Claude Code Workflows
Ollama lets you run models like Gemma 4 locally on your own hardware—zero API costs. Learn how to connect it to Claude Code as a free backend alternative.
How to Run Claude Code Against DeepSeek V4 for $3 a Session (Step-by-Step)
The free-cloud-code GitHub proxy lets you use the full Claude Code CLI with DeepSeek backends. Here's the exact setup to cut your AI coding costs.
What Is Visual Primitives Reasoning? DeepSeek's Breakthrough for AI Agents
DeepSeek's 'thinking with visual primitives' lets AI agents point to objects during reasoning—solving the reference gap that breaks multimodal tasks.
How to Run Claude Code with Cheaper Models: OpenRouter, NVIDIA NIM, and Ollama
Use Claude Code's interface with DeepSeek, Gemma, and other affordable models via proxy. Get 80–90% of Opus quality at 2–5% of the cost.
DeepSeek V4 vs Claude Opus 4.7: Which Model Is Right for Your AI Workflows?
Compare DeepSeek V4 and Claude Opus 4.7 on benchmarks, pricing, context length, and agentic use cases to find the best model for your stack.
Local AI vs Cloud AI: How to Decide What to Own and What to Rent
Not all AI work belongs in the cloud. Learn how to route tasks between local models and cloud APIs based on privacy, cost, and context requirements.
How to Use Ollama to Run AI Models Locally: A Beginner's Setup Guide
Ollama lets you run open-weight models like Gemma 4 and Llama locally on your own hardware. Here's how to get started with local AI inference in minutes.
What Is DeepSeek V4? Open-Weight AI at Frontier-Level Performance
DeepSeek V4 is an open-source model with a 1M token context window that rivals closed frontier models at a fraction of the cost. Here's what you need to know.
The 7-Model Local AI Portfolio: How to Route Tasks Across Local and Cloud Models for Maximum Performance
One model can't do everything. Here's the 7-model local portfolio — from fast local inference to frontier cloud fallback — and how to route between them.
DeepSeek V4 Launch: 4 Specs That Make It the Most Disruptive Open-Weight Model of 2026
Open-weight, 1M token context, $1.74/M tokens, near-frontier benchmarks. DeepSeek V4's four headline numbers and what they mean for enterprise AI.
DeepSeek V4 vs GPT-5.5 vs Claude Opus 4.7: Is 3x Cheaper Worth the Benchmark Trade-Off?
DeepSeek V4 costs $1.74/M tokens vs $5/M for GPT-5.5 and Opus 4.7. We break down where benchmark parity holds and where it doesn't.
How to Set Up a Local AI Stack with Ollama, Open Web UI, and Continue in Under 2 Hours
Run your own AI stack locally with Ollama, Open Web UI, and Continue for VS Code. Full setup guide for privacy-first knowledge workers.
Mac Mini M4 Pro vs Mac Studio vs RTX 5090 vs DGX Spark: Which Local AI Hardware Is Right for Your Stack?
Four local AI hardware options, four different use cases. Here's how to choose between Mac mini M4 Pro, Mac Studio, RTX 5090, and Nvidia DGX Spark.
What Is the NVIDIA Neotron 3 Nano Omni? A Multimodal AI Model for Agents
NVIDIA's Neotron 3 Nano Omni combines text, image, video, and audio processing in one open model. Here's what it does and why it matters for AI agents.
How to Self-Host an Open-Weight AI Stack for Enterprise in Under a Day: DeepSeek V4 + Qwen Embeddings
Cut your AI inference bill 3x by self-hosting DeepSeek V4 with Qwen embeddings. Here's the full stack setup guide for enterprise teams.
DeepSeek V4 vs US AI Models: The Cost and Capability Gap Explained
DeepSeek V4 matches frontier US models at a fraction of the cost. Here's what that means for enterprise AI strategy and which use cases it actually fits.
DeepSeek V4: The Open-Source Model That Rivals Closed Frontier Models
DeepSeek V4 Pro matches GPT-5.5 and Opus 4.7 on agentic benchmarks at a fraction of the cost. Here's what it means for developers and businesses.
Kimmy K2.6 and Qwen 3.6: The Open-Source Models Closing the Frontier Gap
Kimmy K2.6 and Qwen 3.6 beat closed models on key agentic benchmarks. Here's what they can do and when to use them over GPT or Claude.
How Regulated Professionals Can Use Local AI Without Cloud Compliance Risk
Law firms, medical practices, and financial advisors need AI that never leaves their network. Here's how on-device AI solves the compliance problem.
On-Device AI vs Cloud AI: Why the Economics Are Shifting
Cloud AI inference loses money at scale. On-device AI has zero marginal cost. Here's why that gap matters for developers and businesses building on AI.
DeepSeek V4: The Open-Source Model Closing the Gap on Frontier AI
DeepSeek V4 rivals GPT-5.5 and Claude Opus 4.7 on agentic benchmarks at a fraction of the cost. Here's what it means for builders and businesses.
DeepSeek V4: What the New Open-Source Model Means for AI Developers
DeepSeek V4 runs at 27% of V3's compute cost and beats proprietary models on agentic benchmarks. Here's what developers need to know.
How to Build a Hybrid AI Architecture: Local Models + Cloud Frontier Models
Use frontier models like Claude Opus for complex reasoning and local open-source models for classification, embeddings, and transcription to maximize ROI.