Llm D
llm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes
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Results: 110
llm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes
roboflow
Turn any computer or edge device into a command center for your computer vision projects.
huggingface
A blazing fast inference solution for text embeddings models
triton-inference-server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
GradientHQ
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
longhorn
Cloud-Native distributed storage built on and for Kubernetes
etcd-io
Distributed reliable key-value store for the most critical data of a distributed system
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
seaweedfs
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effor…
apache
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
surrealdb
A scalable, distributed, collaborative, document-graph database, for the realtime web
cockroachdb
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
dmlc
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)