sgl-project / genai-benchLinks
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems.
☆185Updated this week
Alternatives and similar repositories for genai-bench
Users that are interested in genai-bench are comparing it to the libraries listed below
Sorting:
- Perplexity GPU Kernels☆418Updated 3 weeks ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆405Updated 2 months ago
- A low-latency & high-throughput serving engine for LLMs☆402Updated 2 months ago
- ☆250Updated this week
- Allow torch tensor memory to be released and resumed later☆96Updated last month
- ☆120Updated last year
- ByteCheckpoint: An Unified Checkpointing Library for LFMs☆230Updated 3 weeks ago
- Materials for learning SGLang☆522Updated 3 weeks ago
- Zero Bubble Pipeline Parallelism☆415Updated 3 months ago
- LLM Serving Performance Evaluation Harness☆79Updated 5 months ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆281Updated this week
- Stateful LLM Serving☆79Updated 4 months ago
- ☆92Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆114Updated this week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆443Updated 3 months ago
- PyTorch distributed training acceleration framework☆51Updated 5 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆134Updated 3 weeks ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆61Updated last year
- A minimal implementation of vllm.☆51Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆220Updated last month
- A lightweight design for computation-communication overlap.☆155Updated last month
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆213Updated 11 months ago
- A Quirky Assortment of CuTe Kernels☆388Updated this week
- Cataloging released Triton kernels.☆251Updated 7 months ago
- Applied AI experiments and examples for PyTorch☆289Updated 2 months ago
- Efficient and easy multi-instance LLM serving☆458Updated this week
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆126Updated last year
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆172Updated 10 months ago
- Fast low-bit matmul kernels in Triton☆339Updated this week
- kernels, of the mega variety☆466Updated 2 months ago