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Cerebrium Alternatives

Serverless GPU infrastructure for deploying AI models with sub-5 second cold starts

Cerebrium is a serverless AI infrastructure platform for deploying machine learning models to GPUs.

Explore 66 alternatives to Cerebrium across 1 category. Each tool listed below shares at least one category with Cerebrium.

Top Cerebrium alternatives at a glance

  1. Replicate. Run and fine-tune open-source models. Deploy custom models at scale. All with one line of code.
  2. Beam. Open-source serverless GPU cloud with sub-second cold starts and auto-scaling
  3. Baseten. AI inference platform for deploying and serving ML models with autoscaling and optimized infrastructure
  4. fal. Build the next generation of creativity with fal. Lightning fast inference.
  5. Modal. Run generative AI models, large-scale batch jobs, job queues, and much more.

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Frequently asked questions

What are the best alternatives to Cerebrium?

Based on category overlap and popularity, the top alternatives to Cerebrium include: Replicate (Run and fine-tune open-source models. Deploy custom models at scale. All with...); Beam (Open-source serverless GPU cloud with sub-second cold starts and auto-scaling); Baseten (AI inference platform for deploying and serving ML models with autoscaling an...); fal (Build the next generation of creativity with fal. Lightning fast inference.); Modal (Run generative AI models, large-scale batch jobs, job queues, and much more.). See all 66 alternatives compared on this page.

Is there a free alternative to Cerebrium?

Yes. 40 alternatives to Cerebrium offer a free tier or free trial: Beam, Baseten, fal, Modal, Prem AI, BentoML, and more. Use the comparison above to find the best fit for your use case.

Are there open-source alternatives to Cerebrium?

Yes. 7 open-source alternatives to Cerebrium are listed here: Beam, BentoML, DeepSeek, vLLM, SGLang, Mistral, and more. Open-source tools can be self-hosted for full control over data and infrastructure.

What is Cerebrium?

Cerebrium is a serverless AI infrastructure platform for deploying machine learning models to GPUs. It supports 10+ GPU types including T4, A10, A100, H100, and H200, with per-second billing so you only pay for actual inference time. Models auto-scale to handle 10K+ requests per minute with sub-5... See 66 alternatives to Cerebrium across 1 category.

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