LiteRT-LM
OSSLiteRT-LM is a lightweight, cross-platform inference framework designed for efficiently running Large Language Mode…
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LMCache is a high-performance key-value (KV) cache layer designed to optimize and accelerate large language model (LLM) inference. It reduces latency and computational overhead by caching intermediate results during model execution.
LiteRT-LM is a lightweight, cross-platform inference framework designed for efficiently running Large Language Mode…
LiteRT is a lightweight runtime optimized for deploying machine learning models on resource-constrained devices lik…
LocalAI is a self-hosted, open-source alternative to the OpenAI API, providing a REST API for running AI models loc…
MindsDB is an open-source platform that integrates machine learning models directly into databases, enabling users …
mini-sglang is a lightweight framework designed for efficient deployment and serving of large language models (LLMs…
MLRun is an open-source MLOps framework designed to streamline the deployment and management of machine learning wo…
MLServer is an open-source inference server designed for deploying and serving machine learning models, supporting …
Model Runner is a Docker-based tool for deploying and serving AI models, including LLMs, by containerizing them for…
Mosec is a Rust-powered, multi-stage pipelined model server designed for efficient AI model deployment. It supports…
nndeploy is an open-source framework designed to simplify the deployment of AI models by providing a high-performan…
Nuclio is a high-performance serverless platform designed for deploying and managing data, I/O, and compute-intensi…
OpenVINO (Open Visual Inference and Neural Network Optimization) is an open-source toolkit designed to optimize and…