Explore Projects
Discover 75 open source projects
Showing 61-75 of 75 projects
uccl-project/uccl
Efficient communication library for GPUs, covering collectives, P2P, and EP for AI/ML workloads
tiny-tpu-v2/tiny-tpu
A minimal tensor processing unit (TPU) for AI and machine learning workloads, inspired by Google's TPU V2 and V1.
lakehq/sail
LakeSail is a Rust-based computation framework that unifies batch processing, stream processing, and AI workloads.
eventql/eventql
Distributed, massively parallel SQL query engine for big data analytics and timeseries workloads.
apache/ozone
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
antonmks/Alenka
A high-performance GPU database engine built for AI and machine learning workloads.
run-house/kubetorch
Distribute and run AI workloads on Kubernetes with a Python-based infrastructure toolkit like PyTorch.
NVIDIA/KAI-Scheduler
KAI Scheduler is an open source Kubernetes-native scheduler for AI workloads at large scale.
tikv/pd
TiKV is a distributed transactional key-value database that provides high performance and scalability for a variety of workloads.
ryfeus/lambda-packs
A collection of pre-compiled packages for AWS Lambda, useful for AI/ML and other serverless workloads.
edgelesssys/constellation
Constellation is a Kubernetes distribution for confidential computing, securing entire clusters on untrusted infrastructure.
kubernetes-retired/kube-batch
A Kubernetes batch scheduler for high-performance workloads like AI/ML, Big Data, and HPC.
siboehm/SGEMM_CUDA
A fast CUDA matrix multiplication library from scratch for high-performance computing and AI workloads.
broadinstitute/cromwell
Cromwell is a scalable, open-source workflow engine for scientific workloads, particularly in bioinformatics.
kubecost/kubectl-cost
A CLI tool for determining the cost of Kubernetes workloads, useful for developers managing cloud infrastructure costs.
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