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dstack SSH fleets vs Keel

Keel offers backend services for apps, not a unified AI compute orchestration layer.

Side by side

What it is
dstack SSH fleets:dstack provides an open-source orchestration layer to manage AI workloads across GPU clouds, Kubernetes, VMs, and bare-metal via SSH fleets.
Keel:Keel provides a code-first backend platform with instant internal tools, schema-driven APIs, and full-stack operations features.
Best for
dstack SSH fleets:Unified AI workload orchestration
Keel:Code-first backend with built-in internal tools
Who it’s for
dstack SSH fleets:AI engineers, data-center operators, and teams using heterogeneous on-prem or cloud GPU compute.
Keel:Engineers building operational backends and internal tools for fast-moving teams
Pricing
dstack SSH fleets:Open source
Keel:Contact sales
Open source
dstack SSH fleets:Yes, 2,261 GitHub stars
Keel:—
Works with
dstack SSH fleets:GPU clouds, Kubernetes, Slurm, bare-metal clusters
Keel:VSCode extension
DevHunt upvotes
dstack SSH fleets:0
Keel:46
Launched on DevHunt
dstack SSH fleets:Jun 2025
Keel:Mar 2024

dstack SSH fleets features

  • SSH Fleets. Connect and provision VMs or bare-metal servers over SSH for AI training and inference.
  • Kubernetes Backend. Integrate existing Kubernetes clusters to schedule containerized AI jobs.
  • Slurm Backend. Experimental support for Slurm clusters, submitting runs as Slurm jobs.
  • Tasks Scheduling. Schedule training and other AI jobs with first-class compute primitives.
  • Services. Cache-aware, PD-disaggregated inference serving with auto-scaling.
  • Presets. Agent-based optimization toolkit for workload configuration.
  • Projects. Tenant isolation and usage metering for multi-tenant AI labs.
  • Gateways. HTTPS endpoints with domain, rate-limit, and auto-scaling support.

Keel features

  • Schema-driven data model. Define data models, actions, and permissions in a clear schema that generates APIs and internal tools.
  • TypeScript extensions. Write custom functions, jobs, and durable functions in TypeScript with full type safety.
  • Version-controlled environments. Create multiple environments, branch deployments, and PR previews with audit trails.
  • Built-in testing framework. Generate type-safe end-to-end tests from the schema for actions, functions, and jobs.
  • Instant internal tools. Automatically generate UI tools for ops teams that stay in sync with schema changes.
  • Serverless infrastructure. Managed, multi-region PostgreSQL and serverless runtime scales from first to millionth user.

Based on each tool's website and DevHunt data. Details may change; check the official sites.