Nano vLLM
☆11,920Nov 3, 2025Updated 4 months ago
Alternatives and similar repositories for nano-vllm
Users that are interested in nano-vllm are comparing it to the libraries listed below
Sorting:
- SGLang is a high-performance serving framework for large language models and multimodal models.☆23,905Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,057Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆71,883Updated this week
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆3,585Feb 26, 2026Updated last week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,755Feb 25, 2026Updated last week
- verl: Volcano Engine Reinforcement Learning for LLMs☆19,519Updated this week
- My learning notes for ML SYS.☆5,444Jan 30, 2026Updated last month
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,843Updated this week
- Supercharge Your LLM with the Fastest KV Cache Layer☆7,272Updated this week
- Fast and memory-efficient exact attention☆22,460Updated this week
- Efficient Triton Kernels for LLM Training☆6,162Feb 27, 2026Updated last week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,284Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,919Updated this week
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,040Updated this week
- FlashMLA: Efficient Multi-head Latent Attention Kernels☆12,505Feb 6, 2026Updated last month
- Development repository for the Triton language and compiler☆18,501Updated this week
- A PyTorch native platform for training generative AI models☆5,098Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,993Updated this week
- A Datacenter Scale Distributed Inference Serving Framework☆6,154Updated this week
- Ongoing research training transformer models at scale☆15,461Updated this week
- Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.☆53,029Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆4,474Updated this week
- Material for gpu-mode lectures☆5,800Feb 1, 2026Updated last month
- DeepEP: an efficient expert-parallel communication library☆9,005Feb 9, 2026Updated 3 weeks ago
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)☆9,084Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆6,206Feb 27, 2026Updated last week
- Minimalistic 4D-parallelism distributed training framework for education purpose☆2,099Aug 26, 2025Updated 6 months ago
- Minimal reproduction of DeepSeek R1-Zero☆12,853Feb 27, 2026Updated last week
- Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation☆7,970May 15, 2025Updated 9 months ago
- Minimalistic large language model 3D-parallelism training☆2,579Feb 19, 2026Updated 2 weeks ago
- Fully open reproduction of DeepSeek-R1☆25,910Nov 24, 2025Updated 3 months ago
- Distributed Compiler based on Triton for Parallel Systems☆1,371Feb 13, 2026Updated 3 weeks ago
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆7,645Updated this week
- The simplest, fastest repository for training/finetuning small-sized VLMs.☆4,685Oct 27, 2025Updated 4 months ago
- Tile primitives for speedy kernels☆3,202Feb 24, 2026Updated last week
- LLM training in simple, raw C/CUDA☆28,993Jun 26, 2025Updated 8 months ago
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)☆67,659Feb 27, 2026Updated last week
- A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations☆16,649Updated this week
- slime is an LLM post-training framework for RL Scaling.☆4,536Updated this week