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Cloud · head to head

Cerebrium vs Zeplo

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
Zeplo logo

Zeplo

APIs

Message queue as a URL prefix, adding retries and delays to any HTTP request

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Zeplo zeplo sits directly in the execution path of your background work, so an outage at a very small vendor means your jobs do not run at all, and there is no published SLA below Enterprise.
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Zeplo covers URL prefix interface.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cerebrium and Zeplo actually diverge.

Attributes where Cerebrium and Zeplo differ
AttributeCerebriumZeplo
Pricing modelFreemium with monthly plans and per-second compute chargesPer month by request count
PlatformsCloud, DockerWeb, Cloud
CategoryCloudAPIs

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 Zeplo

  • URL prefix interface
  • Retries with backoff
  • Delayed delivery
  • Cron scheduling
  • Concurrency limits
  • Deduplication keys
  • Request logs
  • Team workspaces

What people use each for

The jobs each tool is most often brought in to do.

Cerebrium

  • Deploying voice agents and conversational AI applicationsnot Zeplo
  • Video and image model serving with low latencynot Zeplo
  • LLM inference and completion endpointsnot Zeplo
  • Real-time embeddings and vector database operationsnot Zeplo
  • Distributed model training with hyperparameter sweepsnot Zeplo

Zeplo

  • A Vercel or Cloudflare Workers application that needs retried background jobs without deploying a separate always-on workernot Cerebrium
  • A team that wants a webhook receiver protected by a concurrency limit so a burst does not overwhelm a downstream APInot Cerebrium
  • A small product needing cron jobs against HTTP endpoints without adding a scheduler to its infrastructurenot Cerebrium
  • A developer adding idempotent retries to an unreliable third-party API call with a one-line URL changenot 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

Zeplo

  • Zeplo sits directly in the execution path of your background work, so an outage at a very small vendor means your jobs do not run at all, and there is no published SLA below Enterprise.
  • The free Developer tier includes only 500 requests a month and one team member, so it is a demonstration allowance rather than a usable free plan for anything real.
  • Overage on the Developer tier is 20 US dollars per 100,000 requests, two hundred times the marginal rate on the Company tier, so exceeding the free allowance without upgrading is expensive.
  • Team members cost 15 US dollars each beyond the plan allowance, which is an odd charge on an infrastructure product billed by request volume.
  • Log retention is 30 days on both published tiers, so anything requiring longer audit trails on job execution has to be logged separately.

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

Zeplo

Free
  • DeveloperFree
    • 500 requests a month included
    • $20 per additional 100,000 requests
    • 1 team member
  • Company$39/month
    • 1,000,000 requests a month included
    • $10 per additional million requests
    • Up to 3 team members
  • Enterprise$undefined/month
    • Volume discounts
    • Custom team size
    • Support with SLA

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.
Cerebrium review

Choose Zeplo if

  • You need url prefix interface.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want retries with backoff.
Zeplo review

Questions people ask

Is Cerebrium or Zeplo better?
Neither clearly leads. Cerebrium starts at Free and Zeplo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or Zeplo?
Cerebrium starts at Free and Zeplo at Free.
Does Cerebrium or Zeplo run on more platforms?
Cerebrium runs on Cloud, Docker. Zeplo runs on Web, Cloud.
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 Zeplo is typically brought in for.
What can Cerebrium do that Zeplo cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Zeplo covers URL prefix interface, Retries with backoff, Delayed delivery, Cron scheduling.

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.

Source
Zeplo: How does Zeplo work?

You prefix your endpoint URL with zeplo.to and add query parameters for retries, delay, cron or concurrency. No SDK or broker is needed.

Cerebrium: 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.

Source
Zeplo: What does it cost?

Free for 500 requests a month; 39 US dollars a month for a million requests, then 10 dollars per additional million.

Cerebrium: 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.

Source
Zeplo: Is it suitable for critical jobs?

It is a small vendor in your execution path with no published SLA below Enterprise, so weigh that against the convenience.

Zeplo: Does it work with serverless platforms?

Yes, that is its main use, covering Vercel, Cloudflare Workers, Netlify and similar environments that lack long-running workers.

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