Software · head to head
CoreWeave vs Fathom
The short version
- Only Fathom has a free tier, so it costs nothing to try first.
- Each has a real cost: 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; Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing
- They diverge on capability: CoreWeave covers NVIDIA H100/A100, Fathom covers Auto-recording.
Where they differ
Only the attributes on which CoreWeave and Fathom actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
- Cloud support
Only in Fathom
- Auto-recording
- AI summaries
- Transcription
- Highlight clips
- Zoom
- Google Meet
- HubSpot
- Salesforce
What people use each for
The jobs each tool is most often brought in to do.
CoreWeave
- Renting GPU compute for model training and inferencenot Fathom
- Running large scale AI workloads without buying hardwarenot Fathom
Fathom
- AI-powered meeting transcription and automatic note-taking for sales teams and professionalsnot CoreWeave
- Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot CoreWeave
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Fathom
- Team plan requires minimum 2 users; cannot purchase single seat at team pricing
- CRM field sync and deal view summaries available only on Business plan ($34/user/month) and above
Pricing, plan by plan
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
Fathom
FreeNo published plan breakdown. See the Fathom review.
Which should you pick?
Choose CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Choose Fathom if
- You need auto-recording.
- You want to start without paying.
- You work on Web, Zoom, Google Meet, Microsoft Teams.
- You also want ai summaries.
Questions people ask
- Is CoreWeave or Fathom better?
- Neither clearly leads. CoreWeave starts at $0.35/per-hour and Fathom at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CoreWeave or Fathom?
- Fathom has a free tier; the other does not. Paid plans start at $0.35/per-hour for CoreWeave and Free for Fathom.
- Does CoreWeave or Fathom run on more platforms?
- CoreWeave runs on Cloud. Fathom runs on Web, Zoom, Google Meet, Microsoft Teams.
- Can I use Fathom for free?
- Yes. Fathom has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
- What is CoreWeave best used for?
- CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what Fathom is typically brought in for.
- What can CoreWeave do that Fathom cannot?
- CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips.
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- Fathom vs Copy.ai
- Fathom vs HeyGen
- Fathom vs Jasper
- Fathom vs Leonardo AI
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