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A workload for deploying LLM inference services on Kubernetes
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
Intelligent Resource Requirement Estimation and Scheduling for Deep Learning Jobs on Distributed GPU Clusters
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headq…
The code repository for SparkDQ, a big data quality management system.
code repo for file system client-side cache paper
A framework for large-sacle static program analysis.
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Single machine matrix benchmarks to compare various implementations
A Distributed Matrix Operations Library Built on Top of Spark
A General Performance Test Framework for Tachyon
Alluxio, data orchestration for analytics and machine learning in the cloud
SHadoop is an performance optimized version of the standard Hadoop. It aims at shortening the execution time cost of MapReduce jobs, especially for short jobs.