Skip to main content

GPU Cluster Health Management

Project description

Trainy Konduktor Logo

Konduktor is a source available Run:AI alternative built on Kubernetes. Konduktor uses existing open source tools to build a platform that makes it easy for ML Researchers to submit batch jobs and for administrative/infra teams to easily manage GPU clusters.

How it works

Konduktor uses a combination of open source projects. Where tools exist with MIT, Apache, or another compatible open license, we want to use and even contribute to that tool. Where we see gaps in tooling, we build it and open source ourselves.

Architecture

Konduktor can be self-hosted and run on any certified Kubernetes distribution or managed by us. Contact as at founders@trainy.ai if you are just interested in the managed version. We're focused on tooling for clusters with NVIDIA cards for now but in the future we may expand to our scope to support other accelerators.

architecture

For ML researchers

  • Skypilot - user friendly batch job framework, where users only need to specify the resource requirements of their job and a script to launch that makes simple to scale work across multiple nodes. Works with most ML application frameworks. Examples
num_nodes: 100

resources:
  accelerators: H100:8
  cloud: kubernetes
  labels:
    kueue.x-k8s.io/queue-name: user-queue
    kueue.x-k8s.io/priority-class: low-priority

setup: |
  pip install torch torchvision

run: |
  torchrun \
  --nproc_per_node 8 \
  --rdzv_id=1 --rdzv_endpoint=$master_addr:1234 \
  --rdzv_backend=c10d --nnodes $num_nodes \
  torch_ddp_benchmark.py --distributed-backend nccl

For cluster administrators

  • DCGM Exporter, GPU operator, Network Operator - For installing NVIDIA driver, container runtime, and exporting node health metrics.
  • Kueue - centralized creation of job queues, gang-scheduling, and resource quotas and sharing across projects.
  • Prometheus - For publishing metrics about node health and workload queues.
  • OpenTelemetry - For pushing logs from each node
  • Grafana, Loki - Visualizations for metrics/logging solution.

Community & Support

Contributor Guide

Format your code with

poetry install --with dev
bash format.sh

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

konduktor_nightly-0.1.0.dev20240801104323.tar.gz (12.2 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 konduktor_nightly-0.1.0.dev20240801104323.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20240801104323.tar.gz
Algorithm Hash digest
SHA256 454431f1834c602f78c40e66a48e255df5bbf9a70298a80257557fd74f80b518
MD5 6526605befe2ef1698c811915b9785ab
BLAKE2b-256 d19f5c94a4ae64b34e9f06f1e50e9ac4336eae58459a23d33a500c6b29f7aac2

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20240801104323-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20240801104323-py3-none-any.whl
Algorithm Hash digest
SHA256 bba1582f75843a4d470824e547ef6adfdbffb3bbea315813e8e009b8d71065f5
MD5 3a9fce4cb00032df4f53e7e20b214df9
BLAKE2b-256 879fb7499ed11ee3d4a88fd934b301fca64a897ece18cfd30063f15e204b582c

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