Cloud · head to head
Cerebrium vs Lindy

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Free plan
- Yes

Lindy
AI
AI teammate that automates work across your entire software stack
- 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; Lindy requires per-user subscription, which scales costs with team size
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Lindy covers Slack integration.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Cerebrium and Lindy 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 Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP support
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Lindy
- Video and image model serving with low latencynot Lindy
- LLM inference and completion endpointsnot Lindy
- Real-time embeddings and vector database operationsnot Lindy
- Distributed model training with hyperparameter sweepsnot Lindy
Lindy
- Automating email and calendar management across teamsnot Cerebrium
- Transcribing and summarizing meetings automaticallynot Cerebrium
- Updating CRM systems with meeting notes and leadsnot Cerebrium
- Generating daily reports and weekly briefsnot Cerebrium
- Processing structured data from multiple applicationsnot Cerebrium
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
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
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
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority support
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.
Choose Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Questions people ask
- Is Cerebrium or Lindy better?
- Neither clearly leads. Cerebrium starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Lindy?
- Cerebrium starts at Free and Lindy at Free.
- Does Cerebrium or Lindy run on more platforms?
- Cerebrium runs on Cloud, Docker. Lindy runs on Web, Slack, Email, Mobile.
- 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 Lindy is typically brought in for.
- What can Cerebrium do that Lindy cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.
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.
SourceLindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
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.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
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.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceRelated pages
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- Lindy vs Nomad
- Lindy vs Linkerd
- Lindy vs Vellum
- Lindy vs Gumloop
- Lindy vs Copilotly
- Lindy vs ChatGPT
- Lindy vs Wordtune
- Lindy vs Cartesia
- Lindy vs Rev
- Lindy vs Amazon Q Developer
- Lindy vs Avathon
- Lindy vs Veritone
- Lindy vs You.com
- Lindy vs Fathom
- Lindy vs Pi
- Lindy vs Play.ht
- Lindy vs Replika
- Lindy vs Rytr
- Lindy vs Sourcegraph Cody
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