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 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

  • 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.dev20241101104543.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.dev20241101104543.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20241101104543.tar.gz
Algorithm Hash digest
SHA256 16189cb2a0d289c99f76af9a43069d6047f09e992fc26d02e63d538e0b8a9bb6
MD5 4eb984abd8e68fd940e38012efcc7981
BLAKE2b-256 b038a4b53215ba13082f19cd093906e3c97d46f6245b22b65c731413e9bcea8d

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20241101104543-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20241101104543-py3-none-any.whl
Algorithm Hash digest
SHA256 fde8f5db62ac116ecdcb7a715c67baa7d14efe30d0778a6d3823e5147c0f2b95
MD5 2b1bbebe7bb5a8d4e5e38fa953474a4c
BLAKE2b-256 5e2c2c50744607b7f3ce02693b6e9f82f2461e98d437fe719f400de38e705a7d

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