Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
☆1,872Apr 15, 2026Updated this week
Alternatives and similar repositories for flexflow-train
Users that are interested in flexflow-train are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlashInfer: Kernel Library for LLM Serving☆5,372Apr 11, 2026Updated last week
- The Tensor Algebra SuperOptimizer for Deep Learning☆741Jan 26, 2023Updated 3 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,722Jun 25, 2024Updated last year
- Training and serving large-scale neural networks with auto parallelization.☆3,187Dec 9, 2023Updated 2 years ago
- A throughput-oriented high-performance serving framework for LLMs☆952Mar 29, 2026Updated 3 weeks ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Transformer related optimization, including BERT, GPT☆6,412Mar 27, 2024Updated 2 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,001Sep 19, 2024Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,107Jun 30, 2025Updated 9 months ago
- Serving multiple LoRA finetuned LLM as one☆1,152May 8, 2024Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆478May 30, 2025Updated 10 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,016Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,329Mar 6, 2025Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,498Jul 17, 2025Updated 9 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,280Updated this week
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Development repository for the Triton language and compiler☆18,974Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆801Apr 6, 2025Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆134Feb 22, 2024Updated 2 years ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆5,122Updated this week
- A low-latency & high-throughput serving engine for LLMs☆491Jan 8, 2026Updated 3 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,564Apr 9, 2026Updated last week
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆213Sep 21, 2024Updated last year
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,200Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,273Feb 20, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆13,354Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆337Jul 2, 2024Updated last year
- ☆393Nov 4, 2022Updated 3 years ago
- Fast inference from large lauguage models via speculative decoding☆910Aug 22, 2024Updated last year
- Ongoing research training transformer models at scale☆16,073Updated this week
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Mar 15, 2024Updated 2 years ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆26,025Updated this week
- Fast and memory-efficient exact attention☆23,344Updated this week
- Running large language models on a single GPU for throughput-oriented scenarios.☆9,375Oct 28, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Distributed Compiler based on Triton for Parallel Systems☆1,403Apr 10, 2026Updated last week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆826Mar 6, 2025Updated last year
- A schedule language for large model training☆152Aug 21, 2025Updated 7 months ago
- Tile primitives for speedy kernels☆3,312Apr 8, 2026Updated last week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,720Apr 9, 2026Updated last week
- Microsoft Collective Communication Library☆389Sep 20, 2023Updated 2 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,057Sep 4, 2024Updated last year