README.md

# EdgeFlow AI

Deploy AI models anywhere. Run them efficiently everywhere.

## What We Do

EdgeFlow makes AI inference work on CPUs, GPUs, and edge devices with one runtime. We optimize LLMs and VLMs to run fast without eating your GPU budget.

Our platform cuts inference costs by 40% through smart CPU utilization and dynamic resource allocation.

## Models You'll Find Here

We publish optimized versions of:
- Qwen-VL variants
- Gemma models
- Llama models
- Other quantized LLM and VLM families

All models are tuned for efficient CPU and edge deployment while maintaining quality.

## Why EdgeFlow?

**Run on what you have.** Many enterprise workloads don't need GPUs. Our quantization and kernel optimizations give you strong throughput on CPUs.

**One runtime, any hardware.** Same APIs work on laptops, data centers, and edge nodes. Deploy once, run anywhere.

**Keep data local.** On-premise and air-gapped deployments supported. Control stays with you.

**Enterprise ready.** Built-in auth, monitoring, CI/CD integration, and SOC2-ready compliance features.

## Get Started

Visit [edgeflow-ai.vercel.app](https://edgeflow-ai.vercel.app) to join the waitlist or learn more about our deployment platform.

## Questions?

Check our website or open a discussion here on Hugging Face.