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

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.dev20250622104713.tar.gz (216.6 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.dev20250622104713.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20250622104713.tar.gz
Algorithm Hash digest
SHA256 cbb23c85edb077f7b83ebdfe28c0a35f44307f4f728a76496f3d75f1fd158edd
MD5 9593e8c31ddec54fb2e3a780b9d61086
BLAKE2b-256 90d023c396162303df3b820edda335a68f4454002e58e787a6958202ba793a00

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20250622104713-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20250622104713-py3-none-any.whl
Algorithm Hash digest
SHA256 4bb2a12f57e5b371520b875ba9bb48e52cbc44f6af855f9fca3e44888c73377d
MD5 2fdfc318b4106610cff97a5a6cce6a36
BLAKE2b-256 367d26f5857eef414bc1d1561f5cdee528eb0228c03696cc6a3d6a02d8c1311f

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