Skip to main content

Backend.AI Accelerator Plugin for Intel® Gaudi® HPUs

Project description

Backend.AI Accelerator Plugin for Habana

Just install this along with Backend.AI agents, using the same virtual environment. This will allow the agents to detect Habana devices on their hosts and make them available to Backend.AI kernel sessions.

$ pip install -e <Path to this repository>

This open-source edition of Habana plugins support allocation of one or more Habana devices to a container, slot-by-slot.

Compatibility Matrix

TBD

Generating Docker macvlan interfaces for inter-container network

#! /bin/bash
set -e
for pci_bus_id in $(hl-smi --format=csv,noheader -Q bus_id); do
    for net_dev in $(grep PCI_SLOT_NAME /sys/class/net/*/device/uevent | grep "${pci_bus_id}" | awk -F: '{print $1}' | awk -F/ '{print $5}'); do
        docker network create --attachable -o parent="${net_dev}" -d macvlan "gaudi_${net_dev}" >/dev/null
        echo "Docker network gaudi_${net_dev} created"
    done
done

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

backend_ai_accelerator_habana-26.4.4rc3.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file backend_ai_accelerator_habana-26.4.4rc3.tar.gz.

File metadata

File hashes

Hashes for backend_ai_accelerator_habana-26.4.4rc3.tar.gz
Algorithm Hash digest
SHA256 34f2bcd998c573a4e9a271b18e926cd91faf1f10a89aa9fee879cbc74066705b
MD5 68e717d5a0089d14d7b2060673f117ad
BLAKE2b-256 c092e5931ea0bb2180e9e5186c4fc164d776a3102f897243589ef4fdb57a4f21

See more details on using hashes here.

File details

Details for the file backend_ai_accelerator_habana-26.4.4rc3-py3-none-any.whl.

File metadata

File hashes

Hashes for backend_ai_accelerator_habana-26.4.4rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 1d4c82a9d6ecfb70c115444823bb69479e62fe7b95d833068fc0cdbffbb5f4f7
MD5 9c16fa88c6a3627c5055288134d74e07
BLAKE2b-256 aebca5f454455244d28bd676879c4f1b32d99131db5cf899e7bcc379e849d05e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page