cmisale

autopilot

A tool to detect infrastructure issues on cloud native AI systems

data-broker

The Data Broker (DBR) is a distributed, in-memory container of key-value stores enabling applications in a workflow to exchange data through one or more shared namespaces. Thanks to a small set of primitives, applications in a workflow deployed in a (possibly) shared nothing distributed cluster, can easily share and exchange data and messages with a minimum effort. In- spired by the Linda coordination and communication model, the Data Broker provides a unified shared namespace to applications, which is independent from applications’ programming and communication model.

DeepLearningExamples

Deep Learning Examples

dlrm

An implementation of a deep learning recommendation model (DLRM)

flux-sched

Fluxion Graph-based Scheduler

helloworlds

mlbatch

Queuing and quota management for AI/ML batch jobs on Kubernetes

opendatahub-operator

Open Data Hub operator to manage ODH component integrations

scheduler-plugins

Repository for out-of-tree scheduler plugins based on scheduler framework.

autopilot

A tool to detect infrastructure issues on cloud native AI systems

cmisale/scheduler-plugins

Repository for out-of-tree scheduler plugins based on scheduler framework.

cmisale/flux-sched

Fluxion Graph-based Scheduler

cmisale/autopilot

A tool to detect infrastructure issues on cloud native AI systems

cmisale/data-broker

The Data Broker (DBR) is a distributed, in-memory container of key-value stores enabling applications in a workflow to exchange data through one or more shared namespaces. Thanks to a small set of primitives, applications in a workflow deployed in a (possibly) shared nothing distributed cluster, can easily share and exchange data and messages with a minimum effort. In- spired by the Linda coordination and communication model, the Data Broker provides a unified shared namespace to applications, which is independent from applications’ programming and communication model.

cmisale/DeepLearningExamples

Deep Learning Examples

cmisale/dlrm

An implementation of a deep learning recommendation model (DLRM)

cmisale/helloworlds

cmisale/mlbatch

Queuing and quota management for AI/ML batch jobs on Kubernetes

cmisale/opendatahub-operator

Open Data Hub operator to manage ODH component integrations

cmisale/sandbox

Sandbox for github actions

cmisale/scheduler-framework-sample

This repo is a sample for Kubernetes scheduler framework.

cmisale/virtual-kubelet

Virtual Kubelet is an open source Kubernetes kubelet implementation.