project-codeflare/serverless-distributed-dl-training

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Created about 3 years ago
Updated about 3 years ago

project-codeflare/serverless-distributed-dl-training

project-codeflare

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codeflare

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Jupyter Notebook

multi-cluster-app-dispatcher

Holistic job manager on Kubernetes

rayvens

Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

zero-copy-model-loading

In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"

Jupyter Notebook

codeflare-transfer-learning

codeflare-sdk

An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.

instaslice

InstaSlice facilitates the use of Dynamic Resource Allocation (DRA) on Kubernetes clusters for GPU sharing

codeflare-cli

mcad

instascale

On-demand Kubernetes/OpenShift cluster scaling and aggregated resource provisioning

codeflare-operator

Operator for installation and lifecycle management of CodeFlare distributed workload stack

data-integration

Object Storage data processing for Ray framework

appwrapper

AppWrapper controller for Kueue

ibm-vpc-ray-connector

Enables Ray to use IBM Gen2 backend

project-codeflare-landing

mlbatch

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