The Triton Inference Server provides an optimized cloud and edge inferencing solution.
-
Updated
Aug 3, 2024 - Python
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Using network observability to operate and design healthier networks
CloudSimPy: Datacenter job scheduling simulation framework
API to automate IP Networking management, resource allocation and provisioning.
A platform to test reinforcement learning policies in the datacenter setting.
Network probing tool crafted for datacenters (but not only)
The official open source ns-3 simulation framework for datacenter network architectures
The project focuses on Intel’s enterprise AI and cloud native foundation for Red Hat OpenShift Container Platform (RHOCP) solution enablement and innovation including Intel data center hardware features, Intel technology enhanced AI platform and the referenced AI workloads provisioning for OpenShift.
repository to hold Ansible workflows for AOS-CX Data Centers
OpenDC Extension for Energy Modelling & Management
Ansible Collection for managing Infrahub
An implementation of DC-Prophet by Scikit Learn (Google-cluster-data catastrophe predicting), containing data preprocessing.
ACI automation python scripts
A project in course EE122, UC Berkeley. Simulations to Fat-Tree data center and table routing algorithms.
Formats and tooling for the OSPs of JSSPP
Using Apstra to build a Juniper DC
Ansible Role - lldpad
Designing Optimal Compact Oblivious Routing for Datacenter Networks in Polynomial Time (INFOCOM 2023)
Add a description, image, and links to the datacenter topic page so that developers can more easily learn about it.
To associate your repository with the datacenter topic, visit your repo's landing page and select "manage topics."