Side by side

Apache YuniKorn vs Backend.AI

Both stand on gpu cluster management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Apache YuniKorn

Free plan APISelf-hostedWeb

YuniKorn offers Kubernetes workload scheduling with tenant queues and several scheduling policies. Teams should account for deployment on an existing cluster and the build step for source releases.

Visit Apache YuniKorn

Backend.AI brings GPU sharing, scheduling, and cluster management together across several deployment settings. Organizations should assess its quote-based enterprise options and production network-isolation guidance.

Visit Backend.AI

The facts

	Apache YuniKorn	Backend.AI
Free plan	Yes	Yes
Open source	Not published	Not published
Runs on	API, Self-hosted, Web	API, Linux, Self-hosted, Web
Lowest paid plan	Free or on request	Free or on request
Plans published	1	4
Maker	Not published	Not published
Website	yunikorn.apache.org	backend.ai
On gpu cluster management software	#2 of 21	#1 of 21

Apache YuniKorn: what it does well

Free under the Apache License 2.0.
Hierarchical queues provide tenant resource controls.
Supports gang scheduling, reservations, and preemption.
Web UI shows capacity, utilization, and applications.
Metrics can be exposed via Prometheus.

What to know first

Source releases must be built before use.
Deployment guidance assumes an existing Kubernetes cluster.
No free trial is listed.

Backend.AI: what it does well

Fractional GPU allocation lets users share physical GPUs.
Scheduler supports multi-node, multi-tenant workloads.
Supports more than 12 accelerator types.
Can be deployed on-premises, in cloud, or hybrid.
Air-gapped installation and updates are supported.

What to know first

Enterprise plan prices require a quote.
Free Open-source plan is for home users on own hardware.
Production guidance calls for network-isolated compute nodes.

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