ovg-project/kvcached
quality grade A, 90 out of 100Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
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Runtimes and servers that execute model inference at speed and scale.
Signals: llm-inference, inference, inference-engine, model-serving, llm-serving, llama-cpp, vllm, triton-inference-server
411 results
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Jev-compatible API server for open decision models. Ollama for decision models: pull and serve 29 model families (Laya, pplx-decider, Clef, Winnow, coba...) locally or self-hosted behind /v1/systemone. The TypeSafe SDK works unchanged: set its base URL and pick an open model. CLI, desktop app, Docker, MCP server, public bench.
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Turn any computer or edge device into a command center for your computer vision projects.
🐈 A collection of LLM inference providers and models
The simplest way to serve AI/ML models in production
High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
Fast ML inference & training for ONNX models in Rust
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Ollama Python library
Espressif deep-learning library for AIoT applications
InfiniTensor is a high-performance inference engine tailored for GPUs and AI accelerators. Its design focuses on effective deployment and swift academic validation.
Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML
Open source real-time translation app for Android that runs locally
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Advanced CLI tool that scans your hardware and tells you exactly which LLM or sLLM models you can run locally, with full Ollama integration.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Self-hosted AI gateway for coding CLIs — one OpenAI/Claude/Gemini/Codex-compatible endpoint, with a multi-tenant web console, request logs, and spend quotas.
A PyTorch-native inference engine with cache, parallelism, quantization and cpu offload for 100+ DiTs.
A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
High-performance lightweight proxy and load balancer for LLM infrastructure. Intelligent routing, automatic failover and unified model discovery across local and remote inference backends.
Use Hugging Face with JavaScript
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