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SPECIFICTION
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GPUStack vs HTCondor

GPUStack

gpustack.ai

HTCondor

htcondor.com

Side by side

FigureGPUStackHTCondor
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published10
Spec score · GPU Cluster Management Software8.3 (#4)7.9 (#8)
HeadquartersShenzhen, Guangdong, ChinaMadison, Wisconsin, United States

Plans

GPUStack

  • GPUStack Community EditionFree

GPUStack pricing →

HTCondor

No plans published.

HTCondor pricing →

In their own words

GPUStack

GPUStack is an open-source GPU cluster manager for deploying, governing, and scaling AI models across on-premise, cloud, or hybrid infrastructure. It provides OpenAI-compatible and Anthropic-compatible inference endpoints, with support for engines such as vLLM, SGLang, llama.cpp, TensorRT-LLM, and MindIE. Users can browse models from Hugging Face and ModelScope or supply local files, with automated compatibility checks. GPUStack can provision GPU instances with lifecycle controls, partitioning, SSH key injection, Jupyter access, and persistent S3 or NFS storage. Deployment options include on-premise, Kubernetes, and multi-cloud, including air-gapped deployments. The maker lists support for accelerators from NVIDIA, AMD, Ascend, T-head, Hygon, MetaX, Moore Threads, Cambricon, and Iluvatar. Security controls include RBAC, multi-tenancy, SSO, scoped API keys, IP allowlisting, token quotas, and usage analytics. GPUStack Community Edition is free. Worker nodes support Linux only; Windows users are directed to consider WSL2, and macOS worker nodes are not supported.

Visit gpustack.ai

HTCondor

HTCondor is a free high-throughput computing system that coordinates networked machines to run submitted jobs. It finds available machines, matches their resource offers to job requirements and preferences through ClassAds, and can restart a job elsewhere if its current machine becomes unavailable. It is suited to submitting large batches, including thousands of runs across different data sets, and can use otherwise idle machines in a pool. Users do not need login accounts on machines running their jobs; file transfers and split execution support that model. HTCondor can draw on clusters, cloud resources, and international grids, and flocking can connect multiple installations. It supports transfers to and from S3-compatible storage, including Google Cloud Storage through its S3 interoperability API, but not entire buckets or directories. The software is licensed under Apache License 2.0, includes Python bindings, and offers user and administrator guides. Community support is available through a mailing list; paid contract support offers guaranteed resolution and faster turnaround. Security fixes cover current feature and LTS versions, with the previous LTS supported for approximately twelve months after a new LTS release.

Visit htcondor.com