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.dev20241109104321.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.dev20241109104321.tar.gz.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20241109104321.tar.gz
Algorithm Hash digest
SHA256 c6db423e3f4aa8b2c0a14c3f4878ddf3ca8ae0e0d92ba07e01d67f86f956ae0e
MD5 9fc831e17b606ba7e86832d671e0a234
BLAKE2b-256 2be11d3e673efab9bacbeb86a1f88086581b3c12ac637342576b47aa6247280f

See more details on using hashes here.

File details

Details for the file konduktor_nightly-0.1.0.dev20241109104321-py3-none-any.whl.

File metadata

File hashes

Hashes for konduktor_nightly-0.1.0.dev20241109104321-py3-none-any.whl
Algorithm Hash digest
SHA256 ed3e9dcc7cc3ceb17de4b9cbb57ed7e2f284d1a5f418c530d0df2c13f3dc835a
MD5 eb98b55446451b8f2eab6025e96ad39e
BLAKE2b-256 a7e5fb2e8b7fb29139d0caba372063fc3414efbb12e044216542b6dd352bbf71

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