Backend.AI

Backend.AI is ranked #1 of 21 in GPU cluster management software on The Geeks Club. It runs on API, Linux, Self-hosted, Web. There is a free plan. A free trial is offered.

Backend.AI plans and pricing

All plans

Open-source Free For home users · install and use on your own hardware backend.ai · 30 Sept 2026

Try-out Free Request trial Small cloud service trial · available for a limited time backend.ai · 30 Sept 2026

Enterprise (on-premises) Not published Request a quote Enterprise-specific features · GPU allocation across multiple organizations and users backend.ai · 30 Sept 2026

Enterprise (cloud) Not published Request a quote Lablup cloud resources · user and group management · resource allocation backend.ai · 30 Sept 2026

Compared on GPU cluster management software

Free plan: Yes
Deployment model: hybrid
Workload scheduling: both
Kubernetes support: Yes
Quota controls: Yes
GPU utilization metrics: Yes
Cloud GPU support: Yes

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Backend.AI

Purpose: Backend.AI is an AI infrastructure platform for building, training, and serving models and running parallel computing jobs.
GPU sharing: Its container-level GPU virtualization lets multiple users share a physical GPU through fractional GPU allocation.
Orchestration: The Sokovan scheduler supports multi-node, multi-tenant workloads and policy-based resource management.
Accelerators: The platform says its hardware abstraction layer supports more than 12 accelerator types, including NVIDIA, AMD, Intel, Rebellions, and FuriosaAI products.
Storage integrations: Named storage backends include VAST, WEKA, Pure Storage, and IBM Storage Scale, with NVIDIA GPUDirect Storage support.
Deployment: Backend.AI can be deployed on-premises, in public cloud environments, or in a hybrid setup.
Air-gapped use: The site says installation, model deployment, and updates can operate without internet connectivity in air-gapped networks.
Web interface: Backend.AI WebUI provides browser-based GPU cluster management, resource monitoring, session management, and policy-based allocation.
Cloud providers: The site lists AWS, GCP, Azure, and OCI as public cloud environments for GPU instances.
Support: Lablup invites organizations to contact its team for help planning AI clusters and scaling production workloads.
Security architecture: Backend.AI's documentation says compute nodes should be network-isolated with restricted inbound access in production deployments.
Installation: The installation page offers operating-system and architecture selectors for downloading installation files.
Intended users: Lablup describes its audience as ranging from small teams with a single GPU to institutions running clusters of thousands.
Founded: 2015
Price from: Free

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Where it ranks on The Geeks Club

Best GPU Cluster Management Software in 2026#1 of 21

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Sources

backend.ai· checked 30 Sept 2026
lablup.com· checked 30 Sept 2026
docs.backend.ai/en/26.1/concepts/security.html· checked 30 Sept 2026
backend.ai/download· checked 30 Sept 2026
lablup.com/about/company· checked 30 Sept 2026
backend.ai/pricing· checked 30 Sept 2026