Skip to main content

GPU Cluster Health Management

Project description

Trainy Konduktor Logo

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.

Architecture

Konduktor can be self-hosted and run on any certified Kubernetes distribution or managed by us. Contact us 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

  • Konduktor CLI & SDK - 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 out of the box.
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

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.dev20250815104918.tar.gz (234.0 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.dev20250815104918.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20250815104918.tar.gz
Algorithm Hash digest
SHA256 f86c55e25212f67fb3cf3cd431f08b4728aadbe354e6ca4ba4515bf4a424eb9e
MD5 5797142c6d1e56673be3d23023177f34
BLAKE2b-256 1caf35776a15e10d5e6c8d2551d8a43254e25a5f3552495a2247b3dfa2131882

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20250815104918-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20250815104918-py3-none-any.whl
Algorithm Hash digest
SHA256 96d84c5c6aaa805e1319874538045b7487d654c8c50ddde92aeef35d2d56f0eb
MD5 27a44a71d1508989cf5598c6296a5abf
BLAKE2b-256 cbe0920a300e3a065b4a1971e420af6c0b7543e17c00e3ab361b13143bf0d941

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