Machine Learning · head to head
ClearML vs CoreWeave

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; CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- They diverge on capability: ClearML covers Experiment tracking, CoreWeave covers NVIDIA H100/A100.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClearML and CoreWeave actually diverge.
| Attribute | ClearML | CoreWeave |
|---|---|---|
| Starting price | Free | $0.35/per-hour |
| Pricing model | Open-source self-hosted, with paid hosted and enterprise tiers | usage-based |
| Free tier | Yes | No |
| Platforms | Linux, macOS, Windows, Docker, Kubernetes | Cloud |
| Category | Machine Learning | AI |
| Founded | Unknown | 2017 |
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 CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
- 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 CoreWeave
- Moving training from laptops to shared GPU hardware without repackagingnot CoreWeave
- Versioning datasets alongside the experiments that consumed themnot CoreWeave
CoreWeave
- Renting GPU compute for model training and inferencenot ClearML
- Running large scale AI workloads without buying hardwarenot 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
CoreWeave
- GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
- The newest hardware carries no published price and requires contacting sales
- Discounts of up to 60% require committed usage agreements negotiated with sales
- Only the GH200 is offered as a single GPU instance
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
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 CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Questions people ask
- Is ClearML or CoreWeave better?
- Neither clearly leads. ClearML starts at Free and CoreWeave at $0.35/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or CoreWeave?
- ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and $0.35/per-hour for CoreWeave.
- Does ClearML or CoreWeave run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. CoreWeave runs on Cloud.
- Can I use ClearML for free?
- Yes. ClearML has a free tier, so you can try it without paying. CoreWeave starts at $0.35/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 CoreWeave is typically brought in for.
- What can ClearML do that CoreWeave cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object 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.
CoreWeave: How much does CoreWeave cost?
CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.
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.
CoreWeave: How can I get a quote from CoreWeave?
To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.
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.
Related pages
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- CoreWeave vs Weights & Biases
- CoreWeave vs Comet ML
- CoreWeave vs Neptune.ai
- CoreWeave vs Dataiku
- CoreWeave vs Pachyderm
- CoreWeave vs Azure Machine Learning
- CoreWeave vs Domino Data Lab
- CoreWeave vs DVC
- CoreWeave vs AWS SageMaker
- CoreWeave vs Google Vertex AI
- CoreWeave vs DataRobot
- CoreWeave vs H2O.ai
- CoreWeave vs Hugging Face
- CoreWeave vs Kubeflow
- CoreWeave vs Langwatch
- CoreWeave vs LlamaIndex
- CoreWeave vs Milvus
- CoreWeave vs Anthropic API
- CoreWeave vs Pika
- CoreWeave vs D-ID
- CoreWeave vs Fathom
- CoreWeave vs Lambda Labs
- CoreWeave vs Modal
- CoreWeave vs RunPod
- CoreWeave vs Banana
- CoreWeave vs Replicate
- CoreWeave vs AI21 Labs
- CoreWeave vs Sourcegraph Cody
- CoreWeave vs Tabnine
- CoreWeave vs Aider
- CoreWeave vs Leonardo AI
- CoreWeave vs Murf
- CoreWeave vs Pi
- CoreWeave vs Play.ht

