AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。
☆3,013Oct 13, 2026Updated this week
Alternatives and similar repositories for AI-fundamentals
Users that are interested in AI-fundamentals are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。☆8,412Dec 22, 2025Updated 9 months ago
- 分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等☆4,162Sep 20, 2026Updated 3 weeks ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,794Updated this week
- An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.☆12,065Updated this week
- Nano vLLM☆15,832Apr 26, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Heterogeneous GPU Sharing on Kubernetes☆4,762Updated this week
- Kubernetes 动手教程☆20May 18, 2026Updated 4 months ago
- This repository organizes materials, recordings, and schedules related to AI-infra learning meetings.☆606Mar 1, 2026Updated 7 months ago
- init to record my learning path of AI Infra, especially on inference.☆291Updated this week
- hpc 教程，包含集合通信(mpi、nccl)、cuda 编程、向量化 SIMD、RDMA 通信等☆760Apr 27, 2026Updated 5 months ago
- My learning notes for ML SYS.☆7,524Updated this week
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆5,268May 17, 2026Updated 4 months ago
- AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术☆17,979Sep 3, 2025Updated last year
- A Datacenter Scale Distributed Inference Serving Framework☆8,278Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）☆25,161Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆37,132Updated this week
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆877Updated this week
- A self-learning tutorail for CUDA High Performance Programing.☆1,143Jan 14, 2026Updated 9 months ago
- LMCache: Supercharge Your LLM with the Fastest KV Cache Layer☆12,016Updated this week
- FlashInfer: Kernel Library for LLM Serving☆6,618Updated this week
- 💫 A lightweight p2p-based cache system for model distributions on Kubernetes. Reframing now to make it an unified cache system with POSI…☆27Dec 6, 2024Updated last year
- A workload for deploying LLM inference services on Kubernetes☆304Updated this week
- A tutorial for CUDA&PyTorch☆526Mar 23, 2026Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Lightweight, Modular, Kubernetes-native AI serving platform for scalable model serving.☆473Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆8,596Updated this week
- ☆369Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆93,782Updated this week
- 🧠 Train a 64M-parameter LLM from scratch in just 2h!☆63,738Sep 22, 2026Updated 3 weeks ago
- 主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题☆15,235Jun 14, 2026Updated 4 months ago
- A Cloud Native Batch System (Project under CNCF)☆6,018Updated this week
- CUDA 算子手撕与面试指南☆1,134Aug 23, 2025Updated last year
- 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型 （LLM）/多模态大模型（MLLM）教程☆32,469Sep 12, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Achieve state of the art inference performance with modern accelerators on Kubernetes☆4,819Updated this week
- NVIDIA Inference Xfer Library (NIXL)☆1,304Updated this week
- High Performance LLM Inference Operator Library☆1,176Sep 7, 2026Updated last month
- KV cache store for distributed LLM inference☆446Sep 16, 2026Updated 3 weeks ago
- 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程☆83,111Updated this week
- Community maintained hardware plugin for vLLM on Huawei Ascend☆2,979Updated this week
- Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1☆78,505Sep 28, 2026Updated 2 weeks ago