High performance Transformer implementation in C++.
☆162Jan 18, 2025Updated last year
Alternatives and similar repositories for SwiftTransformer
Users that are interested in SwiftTransformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Disaggregated serving system for Large Language Models (LLMs).☆840Apr 6, 2025Updated last year
- ☆137Nov 11, 2024Updated last year
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆358Jun 10, 2025Updated last year
- A low-latency & high-throughput serving engine for LLMs☆529Jan 8, 2026Updated 9 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆524Aug 24, 2026Updated last month
- 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.
- A throughput-oriented high-performance serving framework for LLMs☆975Mar 29, 2026Updated 6 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆227Updated this week
- Efficient and easy multi-instance LLM serving☆561Mar 12, 2026Updated 6 months ago
- ☆46Oct 15, 2025Updated 11 months ago
- KV cache store for distributed LLM inference☆445Sep 16, 2026Updated 3 weeks ago
- Accurate, large-scale, and extensible simulator for LLM inference Systems☆690Aug 24, 2026Updated last month
- A lightweight design for computation-communication overlap.☆249Jan 20, 2026Updated 8 months ago
- Automatic resource configuration for serverless workflows.☆22Mar 24, 2024Updated 2 years ago
- This is the implementation repository of our OSDI'23 paper: SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory.☆64Oct 28, 2024Updated last year
- 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.
- A Easy-to-understand TensorOp Matmul Tutorial☆453Mar 5, 2026Updated 7 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Jan 28, 2025Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆66Jun 5, 2024Updated 2 years ago
- SC'25 UltraAttn: Efficiently Parallelizing Attention through Hierarchical Context-Tiling☆16Aug 14, 2025Updated last year
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆126Mar 13, 2024Updated 2 years ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆48Jun 11, 2025Updated last year
- ☆98Mar 26, 2025Updated last year
- ☆15Jun 26, 2024Updated 2 years ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆562Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)☆194Jul 10, 2024Updated 2 years ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,315Updated this week
- Keyformer proposes KV Cache reduction through key tokens identification and without the need for fine-tuning☆59Mar 26, 2024Updated 2 years ago
- LLM serving cluster simulator☆167Apr 25, 2024Updated 2 years ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,369Aug 28, 2025Updated last year
- ☆172Oct 9, 2024Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆862Mar 6, 2025Updated last year
- [NeurIPS 2025] ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive☆79Aug 8, 2026Updated 2 months ago
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆99Jun 16, 2025Updated last year
- 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.
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆84Nov 4, 2024Updated last year
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆271Aug 6, 2025Updated last year
- ☆151Jan 9, 2025Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆138Feb 22, 2024Updated 2 years ago
- ☆93Oct 17, 2025Updated 11 months ago
- ☆79May 4, 2021Updated 5 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,900Updated this week