Show HN: Serve 100 Large AI models on a single GPU with low impact to TTFT
14 days ago
- #AI
- #GPU Optimization
- #Inference Engine
- Flashtensors is a blazing-fast inference engine that loads models from SSD to GPU VRAM up to 10x faster than alternative loaders.
- Hotswap large models in less than 2 seconds, drastically reducing coldstart times.
- Traditional model loaders slow down workflows with painful startup times, but flashtensors eliminates bottlenecks and maximizes performance.
- Host hundreds of models in a single device and hot-swap them on demand with minimal effect on user experience.
- Run Agentic workflows on constrained devices like robots and wearables.
- Use cases include Affordable Personalized AI, Serverless AI Inference, On Prem Deployments, Robotics, and Local Inference.
- Install via pip and use commands like 'flash start', 'flash pull', and 'flash run' to manage and execute models.
- Python API allows configuration, model registration, loading, inference, and cleanup.
- Benchmarks show flashtensors is ~4–6× faster than safetensors, with coldstays under 5 seconds even for 32B parameter models.
- Future plans include Docker Integration, Inference Server, SGLang Integration, LlamaCPP Integration, Dynamo Integration, and Ollama Integration.