Instead of dstack
dstack alternatives
dstack brings infrastructure provisioning and job scheduling together for AI workloads running across GPU clouds, Kubernetes, virtual machines and bare-metal clusters. Teams can define fleets, development environments, tasks, services and volumes in YAML, then manage them through the CLI or HTTP API. It supports NVIDIA, AMD, TPU and Tenstorrent accelerators, and can publish inference endpoints with HTTPS, auto-scaling, custom domains and rate limits. The open-source plan is free; Sky BYOC mode currently carries no charge, while Marketplace GPU use is prepaid at provider-dependent rates.
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ClearML
Free plan APILinuxMac+3Teams combining GPU infrastructure control and AI development — ClearML adds an AI development center, experiment tracking and a GenAI app engine alongside hybrid GPU infrastructure control.
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GPUStack
Free plan APILinuxMac+3Teams deploying models with varied inference engines — GPUStack adds OpenAI- and Anthropic-compatible inference endpoints, model browsing and GPU instance lifecycle controls.
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Backend.AI
Free plan APILinuxSelf-hosted+1Multi-tenant teams sharing physical GPUs — Backend.AI offers container-level fractional GPU allocation and a multi-node, policy-based scheduler.
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HAMi
Free plan LinuxSelf-hostedKubernetes teams slicing heterogeneous accelerators — HAMi focuses on Kubernetes GPU virtualization, resource slicing and accelerator scheduling rather than broad infrastructure orchestration.
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NVIDIA ShadowPlay
by NVIDIA ShadowPlayFree plan WindowsWindows users capturing gameplay — NVIDIA ShadowPlay records and replays Windows gameplay at up to 8K, unlike dstack's AI workload orchestration.
Free plan Visit site - 6
OpenPBS
Free plan APILinuxMac+1HPC clusters needing resilient, policy-driven scheduling — OpenPBS targets HPC job scheduling with health checks, fail-over and support for millions of cores.
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TORQUE Resource Manager
Free plan APILinuxMac+1Compute clusters using PBS-style resource management — TORQUE is a PBS-based cluster resource and queue manager, with an optional MOM hierarchy and Moab integration.
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Apache YuniKorn
Free plan APISelf-hostedWeb - 9
HTCondor
Free plan APILinuxMac+3 - 10
Kueue
Free plan APISelf-hosted - 11
Koordinator
Free plan APILinuxSelf-hosted - 12
Slurm Workload Manager
Free plan APILinuxSelf-hosted - 13
SkyPilot
Free plan APILinuxSelf-hosted+1 - 14
KAI Scheduler
Free plan Self-hosted - 15
Volcano
Free plan APISelf-hosted - 16
Moab HPC Suite
Paid APILinuxSelf-hosted - 17
NVIDIA Mission Control
Paid LinuxSelf-hostedWeb - 18
Voda Scheduler
Paid APISelf-hosted - 19
NVIDIA Base Command Manager
Paid LinuxWeb4.5 Visit site - 20
IBM Spectrum LSF
Paid LinuxWindows - 21
NVIDIA Run:ai
Paid LinuxWeb4.3 Visit site
A different tool may fit better if you need model-development and experiment-tracking tools, model-serving choices, fractional GPU allocation or batch scheduling for HPC. The trade-offs vary: some alternatives focus on Kubernetes, some run across several deployment environments, and some cover fewer platforms. When comparing, weigh the workloads, accelerators and deployment model you need, along with pricing and management interfaces. Also consider dstack's single-host TPU limit of eight cores per instance and its plaintext-by-default server data and secrets unless server encryption is configured.
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