# Wide Area Intelligence

> Edge-first AI gateway. Run LLMs on GPUs you already own behind one OpenAI-compatible endpoint, and burst to the cloud only when you need to. Serve from your hardware; fail over to the cloud. Free for 2 nodes.

Wide Area Intelligence (wideareaai.com) turns any machine with a GPU into an OpenAI-compatible inference endpoint, routed and cached with automatic cloud failover. It is built for developers running coding agents (Cline, Aider, Continue, Qwen Code), batch jobs, and privacy-sensitive workloads who want to use hardware they own instead of paying per-token cloud API bills.

## Free tools (interactive, run in the browser, no signup)

- [What GPU do I need to run this model?](https://wideareaai.com/tools/gpu-for-model): Pick an LLM and see the minimum GPU that runs it well, every card ranked by fit, best quant, memory needed, and estimated tokens/sec.
- [Can I Run It? — Local AI Edition](https://wideareaai.com/tools/can-i-run-ai): Pick your GPU and see which models run great, which run with trade-offs, and how fast.
- [LLM VRAM Calculator](https://wideareaai.com/tools/vram-calculator): Calculate weights + KV cache + overhead to find exactly how much VRAM a model needs.
- [Cloud API vs Your GPU — AI Cost Calculator](https://wideareaai.com/tools/ai-cost-calculator): Compare the monthly cost of OpenAI/Claude/Gemini APIs vs running the same workload on your own GPU.
- [GGUF Quantization Picker](https://wideareaai.com/tools/gguf-picker): Search any Hugging Face model and see which quant file fits your GPU.
- [Context Window Memory Calculator](https://wideareaai.com/tools/context-window-calculator): See how KV cache memory grows from 8k to 128k context for any model.
- [GPU Power Cost Calculator](https://wideareaai.com/tools/gpu-power-cost): What it costs in electricity to run your GPU daily, monthly, and yearly.
- [Coding Agent Setup Generator](https://wideareaai.com/tools/agent-setup-generator): Get the exact config to point Cline, Aider, Continue, or Qwen Code at your own GPU.
- [OpenAI Compatibility Matrix](https://wideareaai.com/tools/openai-compatibility-matrix): Which OpenAI API features work on llama.cpp, Ollama, vLLM, and Wide Area Intelligence.

## Guides

- [What is an LLM gateway? (and why route local + cloud)](https://wideareaai.com/blog/what-is-an-llm-gateway): What an LLM gateway / router does, and why unifying your own GPUs + cloud failover behind one OpenAI-compatible endpoint is the setup serious local-LLM users land on.
- [Best local LLMs in 2026](https://wideareaai.com/blog/best-local-llms-2026): Honest ranked guide to open-weight models you can run on your own GPU — Llama, Qwen 3, DeepSeek, Mistral, Gemma, Phi — by size, VRAM, and use case.
- [Best local LLMs for coding in 2026](https://wideareaai.com/blog/best-local-llms-for-coding-2026): The best open-weight coder models (Qwen3 Coder, DeepSeek, Devstral) by VRAM, plus how an OpenAI-compatible gateway lets Cline/Aider/Continue use them.
- [How to use Claude Code & coding agents with a local LLM](https://wideareaai.com/blog/claude-code-with-local-llm): The honest path — Claude Code's Anthropic API + context-window traps, and the lighter local agent (oh-my-pi) that actually works on your own GPU.
- [Cline on your own hardware](https://wideareaai.com/blog/cline-on-your-own-hardware): Run the autonomous VS Code agent on a local 32B coder model.
- [Qwen Code with Wide Area Intelligence](https://wideareaai.com/blog/qwen-code-with-wideareaai)
- [Aider with your own GPU](https://wideareaai.com/blog/aider-with-your-own-gpu)
- [Continue.dev without the subscription](https://wideareaai.com/blog/continue-dev-without-the-subscription)
- [How much VRAM do you need?](https://wideareaai.com/blog/how-much-vram-do-you-need)
- [GGUF quantization explained](https://wideareaai.com/blog/gguf-quantization-explained)
- [Ollama vs LM Studio vs llama.cpp vs Wide Area Intelligence](https://wideareaai.com/blog/ollama-vs-lm-studio-vs-llamacpp-vs-wideareaai)
- [OpenAI API vs a gaming PC: the real cost](https://wideareaai.com/blog/openai-api-vs-gaming-pc-cost)
- [How to run Llama 3 locally (2026 guide)](https://wideareaai.com/blog/run-llama-3-locally): Pick the right Llama 3 size and quant for your GPU, run it, and make it reachable.
- [How to run Qwen locally (2026 guide)](https://wideareaai.com/blog/run-qwen-locally): Run Qwen3 / Qwen3-Coder on your own GPU, including the efficient MoE option, wired into coding agents.
- [How to run DeepSeek locally (2026 guide)](https://wideareaai.com/blog/run-deepseek-locally): Which DeepSeek R1 distill fits your GPU, how to run it, and how to reach the full model via cloud failover.
- [Best Ollama alternatives in 2026](https://wideareaai.com/blog/best-ollama-alternatives): LM Studio, Jan, llama.cpp, LocalAI, vLLM — and where a gateway fits when localhost isn't enough.
- [Best LM Studio alternatives in 2026](https://wideareaai.com/blog/best-lm-studio-alternatives): Jan, GPT4All, Ollama, llama.cpp, vLLM compared, plus making any of them reachable remotely.
- [Best OpenRouter alternatives in 2026](https://wideareaai.com/blog/best-openrouter-alternatives): LiteLLM, direct APIs, and routing to GPUs you own first with cloud as failover.

## Key facts

- Endpoint: https://wideareaai.com/api/v1 (OpenAI-compatible — drop-in for any OpenAI SDK).
- Models: open-weight models run free on GPUs you own; cloud models bill from prepaid credits only on failover.
- Pricing: free for 2 nodes.
- Full blog index: https://wideareaai.com/blog
- All tools: https://wideareaai.com/tools