USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
☆686May 21, 2026Updated 2 months ago
Alternatives and similar repositories for long-context-attention
Users that are interested in long-context-attention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Ring attention implementation with flash attention☆1,044Sep 10, 2025Updated 11 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆83Jun 17, 2024Updated 2 years ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆222Aug 19, 2024Updated last year
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆2,684Updated this week
- Large Context Attention☆774Oct 13, 2025Updated 10 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆761Sep 27, 2024Updated last year
- Distributed Compiler based on Triton for Parallel Systems☆1,518Updated this week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,353Aug 28, 2025Updated 11 months ago
- Zero Bubble Pipeline Parallelism☆466May 7, 2025Updated last year
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆907Updated this week
- LLM training technologies developed by kwai☆72Jun 30, 2026Updated last month
- VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo☆2,145Updated this week
- PyTorch bindings for CUTLASS grouped GEMM.☆192Apr 8, 2026Updated 4 months ago
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆1,036Mar 3, 2026Updated 5 months 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.
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,490Updated this week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆547May 16, 2025Updated last year
- FlashInfer: Kernel Library for LLM Serving☆6,158Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,223Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆974Mar 29, 2026Updated 4 months ago
- A lightweight design for computation-communication overlap.☆244Jan 20, 2026Updated 6 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,271Updated this week
- VideoSys: An easy and efficient system for video generation☆2,022Aug 27, 2025Updated 11 months ago
- Tile primitives for speedy kernels☆3,630Jul 13, 2026Updated last month
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆37Aug 7, 2025Updated last year
- Ongoing research training transformer models at scale☆17,419Updated this week
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆430Jul 5, 2025Updated last year
- InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencie…☆421Aug 21, 2025Updated 11 months ago
- ☆135Nov 11, 2024Updated last year
- A parallelism VAE avoids OOM for high resolution image generation☆95May 8, 2026Updated 3 months ago
- 🚀 Efficient implementations for emerging model architectures☆5,554Updated this week
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆58May 3, 2026Updated 3 months ago
- ☆79May 4, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,258Aug 14, 2025Updated 11 months ago
- A low-latency & high-throughput serving engine for LLMs☆518Jan 8, 2026Updated 7 months ago
- Accelerating MoE with IO and Tile-aware Optimizations☆739Jul 4, 2026Updated last month
- A PyTorch native platform for training generative AI models☆5,621Updated this week
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆512Jul 17, 2026Updated 3 weeks ago
- ring-attention experiments☆174Oct 17, 2024Updated last year