Inferentie, implementatie en runtime
llm-d/llm-d
llm-d is an open-source serving stack that adds distributed orchestration, routing, cache management, autoscaling, and batch processing around model servers such as vLLM and SGLang. It targets high-scale production inference on Kubernetes and modern hardware accelerators.
★ 4K⑂ 649Shell
Apache-2.0Q98
Inferentie, implementatie en runtime
PaddlePaddle/FastDeploy
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
★ 3,7K⑂ 755Python
Apache-2.0Q98
Inferentie, implementatie en runtime
vllm-project/vllm-ascend
A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.
★ 2,7K⑂ 2,1KC++
Apache-2.0Q98
Agents en multi-agents
dstackai/dstack
A vendor-agnostic control plane for provisioning and orchestrating training, inference, development, and agentic workloads across GPU clouds, Kubernetes, and on-premises infrastructure.
★ 2,2K⑂ 249Python
MPL-2.0Q98
Inferentie, implementatie en runtime
mozilla-ai/any-llm
any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.
★ 2,2K⑂ 211Python
Apache-2.0Q98
Inferentie, implementatie en runtime
theopenco/llmgateway
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
★ 1,6K⑂ 172TypeScript
NOASSERTIONQ98
Inferentie, implementatie en runtime
xllm-ai/xllm
xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.
★ 1,5K⑂ 279C++
Apache-2.0Q98
Fine-tuning, training en data
deepspeedai/deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★ 43K⑂ 4,9KPython
Apache-2.0Q94
Inferentie, implementatie en runtime
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
★ 13,2K⑂ 2,4KC++
Apache-2.0Q94
Inferentie, implementatie en runtime
avifenesh/memra
A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.
★ 314⑂ 35Rust
MITQ92
Inferentie, implementatie en runtime
PaddlePaddle/Paddle-Lite
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)
★ 7,3K⑂ 1,6KC++
Apache-2.0Q91
Inferentie, implementatie en runtime
ollama/ollama
A tool for running and managing large language models locally.
★ 180,2K⑂ 17,7KGo
MITQ90