Cloud · head to head
Cerebrium vs Fig
Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Free plan
- Yes
Fig
Developer Tools
IDE-style autocomplete for your existing terminal
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Fig shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Cerebrium and Fig actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Cerebrium
- Ultra-fast cold starts
- Elastic scaling
- Bring your own code
- Multi-region failover
- WebSocket and streaming
- Asynchronous jobs
- CI/CD with gradual rollouts
- OpenTelemetry integration
Only in Fig
Nothing recorded that Cerebrium does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Fig
- Video and image model serving with low latencynot Fig
- LLM inference and completion endpointsnot Fig
- Real-time embeddings and vector database operationsnot Fig
- Distributed model training with hyperparameter sweepsnot Fig
Fig
No use cases recorded yet. See the Fig review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cerebrium
- Free Hobby tier limited to 3 apps and 5 GPU concurrency
- Standard plan at $100/month required for production deployments
- Per-second compute pricing requires continuous cost monitoring
- Storage costs add up for large model files
Fig
- Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
- The standalone desktop app is no longer available or supported
- The completion specs remain open source on GitHub, but the product that consumed them is gone
Pricing, plan by plan
Cerebrium
Free- HobbyFree
- 3 user seats
- Up to 3 deployed apps
- 5 GPU concurrency
- Standard$100/month
- Unlimited seats and apps
- 30 GPU concurrency
- Custom domains
- Enterprise$undefined/custom
- Unlimited resources
- Volume discounts
- Dedicated support
- GPU Compute$undefined/per-second
- T4: $0.000164/s
- H100: $0.00167/s
Fig
FreeNo published plan breakdown. See the Fig review.
Which should you pick?
Choose Cerebrium if
- You need ultra-fast cold starts.
- You want to start without paying.
- You work on Cloud, Docker.
- You also want elastic scaling.
Questions people ask
- Is Cerebrium or Fig better?
- Neither clearly leads. Cerebrium starts at Free and Fig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Fig?
- Cerebrium starts at Free and Fig at Free.
- Does Cerebrium or Fig run on more platforms?
- Cerebrium runs on Cloud, Docker. Fig runs on Web.
- Can I use Cerebrium for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cerebrium best used for?
- Cerebrium is most often used for deploying voice agents and conversational ai applications, video and image model serving with low latency, llm inference and completion endpoints, real-time embeddings and vector database operations. Of those, deploying voice agents and conversational ai applications and video and image model serving with low latency are not what Fig is typically brought in for.
- What can Cerebrium do that Fig cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.
Answered from the vendors’ own pages
Cerebrium: Is Cerebrium only for inference or can it train models?
Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.
SourceCerebrium: How do the cold starts compare to other platforms?
Cerebrium achieves 2-4 second cold starts through memory and GPU snapshotting, significantly faster than traditional 30+ second cold boots. This is competitive with platforms like Beam Cloud.
SourceCerebrium: What compliance certifications does Cerebrium have?
Cerebrium maintains SOC 2 Type II compliance, HIPAA certification, GDPR compliance, and ISO certification. It provides gVisor container isolation and configurable data residency for regulated workloads.
SourceRelated pages
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