ClearML vs Seldon

ClearML

Agents

Seldon

Agents

Tagline

ClearML

End-to-end MLOps and GenAI platform with open-source experiment tracking and enterprise GPU orchestration.

Seldon

Kubernetes-native MLOps platform for deploying and orchestrating ML and generative AI models in production.

Pricing

ClearML

Freemium· Community: $0 · Pro: $15 Per User/Month + Usage · Scale: Custom Quote · Enterprise: Request a Quote

Seldon

Freemium· Basic: $10 · Pro: $20 · Enterprise: Contact sales

Lowest paid tier

ClearML

$15 Per User/Month + Usage · Pro

captured 2026-08-10

Seldon

$10 · Basic

captured 2026-08-09

Free trial

ClearML

Yes

Seldon

Yes

API

ClearML

Yes

Seldon

Yes

Platforms

ClearML

api

Seldon

api

Open source

ClearML

Yes

Seldon

Yes

Company

ClearML

—

Seldon

TrueFoundry

Model used

ClearML

Model-agnostic

Seldon

Multi-model (bring your own)

Best for

ClearML

Pick ClearML if you need an open-source MLOps backbone that also handles GPU scheduling and LLM serving for an enterprise or on-prem GPU fleet.

Seldon

Pick Seldon if you run a platform team that needs to serve many ML or LLM models on Kubernetes with versioning, monitoring, and governance.

Not for

ClearML

Skip it if you just want lightweight experiment logging or a single-user notebook tracker - MLflow or W&B will be lower friction.

Seldon

Skip it if you just want a hosted inference endpoint or you do not already operate Kubernetes.

Editorial score

ClearML

8.3 / 10

Seldon

7.3 / 10

Use cases

ClearML

experiment-trackinggpu-orchestrationmlopsllm-deploymentmodel-registrydata-versioning

Seldon

model-servinginference-pipelinesab-testingdrift-detectionllm-deploymentmlops

Pros

ClearML

• Open-source core with permissive self-hosting
• Bundles tracking, orchestration, and GenAI serving in one stack
• Strong fractional-GPU and multi-tenant scheduling for shared clusters
• Vendor-neutral across clouds, on-prem, and silicon
• Active enterprise adoption in regulated industries

Seldon

• Mature Kubernetes-native serving with real-time pipelines
• Open-source core (Seldon Core 2, MLServer, Alibi) on GitHub
• Multi-model serving with memory overcommit cuts infra cost
• Strong observability, explainability, and drift-detection tooling
• Handles both classical ML and generative AI on one platform

Cons

ClearML

• Pricing for enterprise tiers is opaque
• Heavier to deploy than logging-only alternatives
• UI and docs assume MLOps fluency
• GenAI App Engine is newer and less mature than the tracking core

Seldon

• Steep learning curve - assumes Kubernetes fluency
• Enterprise pricing is opaque and quote-only
• Overkill for single-model or small-team deployments
• Recent TrueFoundry consolidation muddies the product roadmap

Website

ClearML

clear.ml

Seldon

seldon.io

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.