inference & serving: 58 curated resources
inference & serving
58 resources · page 1 of 2
OpenInference
by Arize AI
Arize OpenInference GitHub repo: OpenTelemetry instrumentation and semantic conventions for LLM tracing.
Truss
by Baseten
Baseten Truss GitHub repo: packaging and serving ML models in production.
checkpoint-engine
by Moonshot AI
Moonshot checkpoint-engine GitHub repo: middleware for updating model weights in running LLM inference engines.
DeepSeek Open Infra Index
by DeepSeek
DeepSeek Open Infra Index GitHub repo: index of released infrastructure tools such as FlashMLA, DeepEP, DeepGEMM and 3FS.
py-why/dowhy
by PyWhy
PyWhy DoWhy GitHub repo: Python library for causal inference with explicit assumptions and refutation tests.
FastDeploy
by PaddlePaddle
PaddlePaddle FastDeploy GitHub repo: inference and deployment toolkit for LLMs and VLMs.
Fireworks cookbook
by Fireworks AI
Fireworks cookbook GitHub repo: recipes for fine-tuning, function calling and building with Fireworks AI.
LMDeploy
by InternLM
InternLM LMDeploy GitHub repo: toolkit for compressing, deploying and serving LLMs.
MLX / mlx-lm
by ml-explore
Apple mlx-lm GitHub repo: Python package for running and fine-tuning LLMs with MLX.
Mooncake
by kvcache.ai
Mooncake GitHub repo: KV-cache-centric disaggregated serving platform used for Kimi.
Motif Technologies
Motif Technologies GitHub organisation: training and serving code for its Korean models.
Multiverse Computing model registry
Multiverse Computing Hugging Face organisation: compressed model cards such as HyperNova.
NVIDIA Dynamo
by Dynamo
ai-dynamo Dynamo GitHub repo: NVIDIA's datacenter-scale distributed, disaggregated inference serving framework.
NVIDIA NeMo Speech
by NVIDIA-NeMo
NVIDIA NeMo Speech GitHub repo: framework for speech recognition and TTS model training and inference.
NVIDIA/TensorRT-LLM
NVIDIA TensorRT-LLM GitHub repo: Python API and kernels for optimised LLM inference on NVIDIA GPUs.
Ollama
by Ollama
Ollama GitHub repo: runtime for running open LLMs locally, with API and cloud options.
OLMo training and inference
by Ai2
Ai2 OLMo GitHub repo: modelling, training, evaluation and inference code for OLMo open language models.
onediff
by SiliconFlow
SiliconFlow onediff GitHub repo: acceleration library for diffusion model inference.
Together cookbook
by Together
Together cookbook GitHub repo: notebooks with recipes for building with Together AI models.
Alibaba Cloud Model Studio: Prompt engineering guide
Alibaba Cloud Model Studio prompt engineering guide in Chinese with techniques for designing and optimising prompts.
Cloud.ru Foundation Models documentation
by Cloud.ru
Cloud.ru Foundation Models documentation: Sber subsidiary's unified API for hosted language models (in Russian).
fal Docs (fal.ai/docs)
by fal
fal documentation for deploying and calling generative media models on fal's serving platform.
GroqDocs: Prompt Basics
by Groq
Groq prompting guide covering roles, instructions, context, input and output formats, and sampling parameters.
LM Studio docs
by LM Studio
LM Studio app documentation: running Llama, DeepSeek, Qwen and other LLMs locally on a desktop.
GigaChat docs: Prompt engineering basics
by Sber
Sber GigaChat prompt engineering basics in Russian: how to write effective prompts for GigaChat.
SiliconFlow docs: Platform introduction
by SiliconFlow
SiliconFlow platform introduction in Chinese: inference service offering API access to many open models.
Volcano Engine Ark (方舟) docs
Volcano Engine Ark documentation entry: ByteDance's model platform docs, redirecting to docs.volcengine.com.
Alibaba Cloud Model Studio: Create a knowledge base
Alibaba Cloud Model Studio documentation on creating knowledge bases for RAG, with parsing and chunking settings (in Chinese).
Cloudflare Workers AI
by Cloudflare
Cloudflare Workers AI documentation for running ML models on serverless GPUs across Cloudflare's network.
Groq documentation
by Groq
Groq documentation: OpenAI-compatible API, available models and rate limits for its LPU inference service.
vLLM documentation
by vLLM project
vLLM documentation: open-source engine for high-throughput LLM inference and serving.
OpenRouter docs: Prompt Caching
by OpenRouter
OpenRouter guide to prompt caching across model providers, with cost implications.