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dstack SSH fleets vs Langfuse
Langfuse provides LLM observability, while dstack manages compute and job scheduling.
dstack SSH fleetsAI container orchestration tool
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick dstack SSH fleets if you want…
- Unified AI workload orchestration
- A free, open-source tool
- Integrations with GPU clouds, Kubernetes or Slurm (on dstack SSH fleets' list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not dstack SSH fleets')
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.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- dstack SSH fleets:Unified AI workload orchestration
- Langfuse:LLM observability & analytics
- Who it’s for
- dstack SSH fleets:AI engineers, data-center operators, and teams using heterogeneous on-prem or cloud GPU compute.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- dstack SSH fleets:Open source
- Langfuse:Freemium
- Plans
- dstack SSH fleets:—
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- dstack SSH fleets:Yes, 2,261 GitHub stars
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- dstack SSH fleets:GPU clouds, Kubernetes, Slurm, bare-metal clusters
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
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.
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
dstack SSH fleets vs Langfuse FAQ
Is dstack SSH fleets or Langfuse free?+
dstack SSH fleets is free and open source. Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Which is cheaper, dstack SSH fleets or Langfuse?+
dstack SSH fleets is free, so it costs less. Langfuse starts at $29/month (Core).
Is dstack SSH fleets or Langfuse open source?+
Yes, both are open source: dstack SSH fleets (dstackai/dstack on GitHub, MPL-2.0 license) and Langfuse (langfuse/langfuse on GitHub).
Do dstack SSH fleets and Langfuse integrate with the same tools?+
Their integration lists don't overlap: dstack SSH fleets lists GPU clouds, Kubernetes, Slurm and bare-metal clusters; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.