Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training
☆1,899Sep 6, 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:
- The Tensor Algebra SuperOptimizer for Deep Learning☆743Jan 26, 2023Updated 3 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,772Jun 25, 2024Updated 2 years ago
- Training and serving large-scale neural networks with auto parallelization.☆3,178Dec 9, 2023Updated 2 years ago
- FlashInfer: Kernel Library for LLM Serving☆6,340Updated this week
- Transformer related optimization, including BERT, GPT☆6,448Mar 27, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A throughput-oriented high-performance serving framework for LLMs☆975Mar 29, 2026Updated 5 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,002Sep 19, 2024Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,112Jun 30, 2025Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,175May 8, 2024Updated 2 years ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆519Aug 24, 2026Updated 2 weeks ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,270Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,342Mar 6, 2025Updated last year
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,479Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,631Jul 17, 2025Updated last year
- 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.
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,522Updated this week
- Development repository for the Triton language and compiler☆20,096Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆832Apr 6, 2025Updated last year
- A low-latency & high-throughput serving engine for LLMs☆520Jan 8, 2026Updated 7 months ago
- Distributed Compiler and Optimized Parallel Kernels☆1,535Aug 12, 2026Updated 3 weeks ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆137Feb 22, 2024Updated 2 years ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆226Sep 21, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,386Updated this week
- ☆395Nov 4, 2022Updated 3 years ago
- 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.
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆14,557Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆347Jul 2, 2024Updated 2 years ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆554Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,506Updated this week
- Fast inference from large lauguage models via speculative decoding☆926Aug 22, 2024Updated 2 years ago
- Ongoing research training transformer models at scale☆17,756Updated this week
- Tile primitives for speedy kernels☆3,666Aug 28, 2026Updated last week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,524Feb 20, 2026Updated 6 months ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆88Sep 15, 2025Updated 11 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Running large language models on a single GPU for throughput-oriented scenarios.☆9,350Oct 28, 2024Updated last year
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Mar 15, 2024Updated 2 years ago
- Fast and memory-efficient exact attention☆24,845Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆856Mar 6, 2025Updated last year
- A schedule language for large model training☆153Aug 21, 2025Updated last year
- Microsoft Collective Communication Library☆398Aug 25, 2026Updated last week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,725Aug 7, 2026Updated last month