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.dev20240911104337.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.dev20240911104337.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20240911104337.tar.gz
Algorithm Hash digest
SHA256 a2c4cb4b51028c34a3946611511bfa882644eb5e6c9541dc6966b7bf187bee14
MD5 9f7c13d5b4c8d426eb611c3e41ccd17f
BLAKE2b-256 ca7271baf01d909804f57b7f5b2c2784d5c8f060ffeabf94a01a6a514edd47b7

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20240911104337-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20240911104337-py3-none-any.whl
Algorithm Hash digest
SHA256 3994c8a37d1c71390a967bede9336b044df8a9dbd5f947cb501aa4ddde4e2233
MD5 8da94a623eba6e1b8c406fd6238724a2
BLAKE2b-256 1219c24fad558648d8c18e38f86c95d9bff7eda5b24cd8adaac502dbf0958d58

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