Machine Learning · head to head
ClearML vs RunPod

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Free plan
- Yes
The short version
- Only ClearML has a free tier, so it costs nothing to try first.
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; RunPod idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
- They diverge on capability: ClearML covers Experiment tracking, RunPod covers GPU instances.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClearML and RunPod actually diverge.
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
Only in RunPod
- GPU instances
- Serverless
- Templates
- Persistent storage
- Docker
- REST API
- SSH access
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
ClearML
- Tracking experiments across a team so results are reproduciblenot RunPod
- Moving training from laptops to shared GPU hardware without repackagingnot RunPod
- Versioning datasets alongside the experiments that consumed themnot RunPod
RunPod
- Renting GPU compute by the second for model training and inferencenot ClearML
- Running serverless GPU workers that scale with request volumenot ClearML
- Attaching persistent network storage shared across GPU podsnot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
RunPod
- Idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
- Reserved clusters of all terms from 1 to 12 months are priced by contacting sales with no published rate
- L40S, H100 SXM and B200 cluster configurations are listed as contact sales rather than at a published hourly rate
- High performance network storage costs $0.14 per GB per month, twice the standard sub 1TB rate of $0.07
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
RunPod
$0.2/per-hour- Community Cloud$0.2/per-hour
- Affordable GPUs
- Spot instances
- Secure Cloud$0.44/per-hour
- Enterprise security
- Dedicated hardware
Which should you pick?
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose RunPod if
- You need gpu instances.
- You work on Cloud, Api.
- You also want serverless.
Questions people ask
- Is ClearML or RunPod better?
- Neither clearly leads. ClearML starts at Free and RunPod at $0.2/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or RunPod?
- ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and $0.2/per-hour for RunPod.
- Does ClearML or RunPod run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. RunPod runs on Cloud, Api.
- Can I use ClearML for free?
- Yes. ClearML has a free tier, so you can try it without paying. RunPod starts at $0.2/per-hour.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what RunPod is typically brought in for.
- What can ClearML do that RunPod cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. RunPod covers GPU instances, Serverless, Templates, Persistent storage.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
RunPod: What is the pricing model for Runpod GPU compute?
Runpod uses usage-based pricing billed per second rather than fixed subscriptions. GPU pod pricing ranges from $0.27/hour for budget options like RTX A5000 to $7.89/hour for high-end options like B300. Serverless inference is billed based on worker usage.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
RunPod: Are there minimum contracts or commitments required to use Runpod?
No minimum contracts or commitments are required for on-demand services. Per-second billing is available, and you pay only for what you use. Long-term commitments offer additional savings through reserved capacity options.
SourceClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
RunPod: What are the storage costs on Runpod?
Storage pricing is tiered: Container Disk costs $0.10/GB/month, Volume Disk costs $0.10/GB/month when running or $0.20/GB/month when idle, and Network Storage ranges from $0.05-$0.07/GB/month for standard to $0.14/GB/month for high-performance.
SourceRunPod: Does Runpod charge egress fees for data transfer?
No, Runpod does not charge egress fees when using persistent network storage, which helps reduce data transfer costs for workloads that need to move data in and out frequently.
SourceRunPod: How does Runpod Serverless handle cold starts and idle costs?
Runpod Serverless offers zero idle cost and sub-200ms cold starts via FlashBoot technology. There is no warm-up tax, meaning you don't pay for idle capacity or accept cold-start latency penalties.
SourceRelated pages
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- RunPod vs Pachyderm
- RunPod vs Azure Machine Learning
- RunPod vs Domino Data Lab
- RunPod vs DVC
- RunPod vs AWS SageMaker
- RunPod vs Google Vertex AI
- RunPod vs DataRobot
- RunPod vs H2O.ai
- RunPod vs Hugging Face
- RunPod vs Kubeflow
- RunPod vs Langwatch
- RunPod vs LlamaIndex
- RunPod vs Milvus
- RunPod vs Pika
- RunPod vs Fathom
- RunPod vs D-ID
- RunPod vs Anthropic API
- RunPod vs Lambda Labs
- RunPod vs Modal
- RunPod vs Banana
- RunPod vs CoreWeave
- RunPod vs Replicate
- RunPod vs Rytr
- RunPod vs Together AI
- RunPod vs AI21 Labs
- RunPod vs Gumloop
- RunPod vs Inflection AI
- RunPod vs LatchBio
- RunPod vs LOVO
- RunPod vs Manus

