flagos-ai / FlagPerfLinks
FlagPerf is an open-source software platform for benchmarking AI chips.
☆355Updated last month
Alternatives and similar repositories for FlagPerf
Users that are interested in FlagPerf are comparing it to the libraries listed below
Sorting:
- GLake: optimizing GPU memory management and IO transmission.☆491Updated 9 months ago
- FlagScale is a large model toolkit based on open-sourced projects.☆426Updated last week
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆949Updated this week
- A highly optimized LLM inference acceleration engine for Llama and its variants.☆906Updated 5 months ago
- ☆518Updated last month
- ☆73Updated last year
- ☆137Updated last week
- ☆130Updated last year
- ☆77Updated last year
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆285Updated 4 months ago
- FlagGems is an operator library for large language models implemented in the Triton Language.☆803Updated last week
- DLRover: An Automatic Distributed Deep Learning System☆1,608Updated last week
- MIXQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction☆94Updated last year
- Disaggregated serving system for Large Language Models (LLMs).☆754Updated 8 months ago
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆270Updated 4 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆476Updated last year
- ☆434Updated 3 months ago
- Materials for learning SGLang☆693Updated last week
- ☆141Updated last year
- An acceleration library that supports arbitrary bit-width combinatorial quantization operations☆238Updated last year
- PyTorch distributed training acceleration framework☆54Updated 4 months ago
- ☆774Updated last month
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆910Updated last month
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆271Updated 2 years ago
- ☆152Updated 11 months ago
- [ICML 2025 Spotlight] ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference☆275Updated 7 months ago
- Efficient and easy multi-instance LLM serving☆517Updated 3 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆599Updated last year
- DeepSeek-V3/R1 inference performance simulator☆174Updated 9 months ago
- LLM training technologies developed by kwai☆67Updated last month