exo
Exo Labs · Distributed & parallel computing
Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX
10 tools
Exo Labs · Distributed & parallel computing
Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX
Sebastián Ramírez (tiangolo) and FastAPI contributors · API development & tooling
Python web framework for building HTTP APIs from type-annotated functions, with automatic validation through Pydantic and generated OpenAPI documentation
Cloud Native Computing Foundation · Containers & virtualization
Open-source system for scheduling, scaling and operating containerized workloads across a cluster of machines
BerriAI · Prompting, evaluation & observability
Open-source Python SDK and self-hosted AI gateway that calls 100+ LLM providers in the OpenAI format, with routing, fallbacks, virtual keys, budgets, spend tracking and logging callbacks
ggml-org (Georgi Gerganov and contributors) · Local LLM inference & serving
C/C++ inference engine for LLMs and vision-language models with GGUF quantized weights, Metal, CUDA, Vulkan and other backends, a CLI and an OpenAI-compatible server
Apple Inc. · Apple Silicon ML & MLX
Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory
Apple Inc. · Apple Silicon ML & MLX
Python package and CLI for running, serving, quantizing and fine-tuning large language models on Apple Silicon with MLX
Ollama · Local LLM inference & serving
Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models
Ray project (Anyscale and contributors) · Distributed & parallel computing
Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning
vLLM project (originated at UC Berkeley Sky Computing Lab) · Local LLM inference & serving
High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters
Page 1 of 1
Share this view: /tools?use=serve-models&pricing=open-source