AI Engineering Breakthrough: Serve 100 Large Models on One GPU A new open-source project is making waves across the AI developer community—enabling the serving of 100 large AI models on a single GPU with low impact to TTFT (Time to First Token) . The developer behind the project wanted to build an inference provider for proprietary AI models but lacked a large GPU farm. After experimenting with serverless AI inference, they encountered the problem of massive cold start times . Instead of giving up, they dove deep into research and created an engine that loads large models from SSD to VRAM up to 10× faster than existing solutions. What Makes It Special The project works seamlessly with: vLLM Transformers More integrations coming soon It can hot-swap entire large models (up to 32B parameters) on demand, making it ideal for: Serverless AI Inference Robotics On-prem Deployments Local AI Agents And best of all—it’s ope...