Inference & Serving
Engines and gateways for running LLMs locally or serving them at scale.
9 projects
Run large models locally with a single command — LLMs, vision, and embeddings on any machine.
LLM inference in C/C++ with quantization — runs models on CPU, GPU, and edge devices.
High-throughput, memory-efficient inference and serving engine for LLMs with PagedAttention.
AI gateway to call 100+ LLM APIs in OpenAI format with cost tracking, guardrails, and load balancing.
Run any model — LLMs, vision, voice, image, video — on any hardware, no GPU required.
Desktop app for local LLMs with text, vision, tool-calling, and OpenAI-compatible APIs.
High-performance serving framework for large language and multimodal models.
Distribute and run LLMs with a single cross-platform executable file.
Unified, production-ready inference API for open-source LLMs, speech, and multimodal models.