Head-to-head · AI Model Hosting
Cerebrium vs Beam
Cerebrium leads on 0 checks, Beam on 1, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreCerebrium · 8.5/10
- Lowest starting priceBeam · $89/mo
- Free planboth
Cerebrium scores higher on our rubric for ai model hosting: 8.5 against 8.4 out of 10; our editors rank them #9 and #10.
Beam is cheaper to start at $89/mo against $100/mo. On deployment mode, Beam gives you Both where Cerebrium offers Serverless.
Cerebrium is the better fit for teams needing serverless multi-region inference. Beam is the better fit for developers wanting serverless GPUs and batch jobs.
- Cerebrium fits best
Teams needing serverless multi-region inference
- Beam fits best
Developers wanting serverless GPUs and batch jobs
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Side by side
| Feature | Cerebrium 8.5/10 Visit ↗ | Beam 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.5 | 8.4 |
| Ranking | #9 in AI Model Hosting | #10 in AI Model Hosting |
| Best for | Teams needing serverless multi-region inference | Developers wanting serverless GPUs and batch jobs |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $100/mo | $89/mo (best) |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Live chat, Community, Docs | Live chat, Community, Docs |
| Compliance | SOC 2, HIPAA, GDPR, ISO 27001 | SOC 2 |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Cerebrium 4/4 · Beam 4/4 | ||
| Autoscaling | ✓ | ✓ |
| GPU accelerators | ✓ | ✓ |
| Private deployment | ✓ | ✓ |
| Batch inference | ✓ | ✓ |
| Specs | ||
| Deployment mode | Serverless | Both |
| Supported model formats | PyTorch, ONNX, TensorRT, CTranslate2 | Not checked yet |
| Deployment regions | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Cerebrium is a cloud platform for deploying, serving, and scaling AI workloads such as large language models, voice agents, video models, embeddings, and batch jobs. It is aimed at developers and teams running production AI applications… Read the review → |
Beam is a cloud platform for deploying AI inference endpoints, task queues, sandboxes, training jobs, and other GPU workloads. It is designed for developers and engineering teams building AI products without managing traditional cloud… Read the review → |
Strengths and trade-offs
Cerebrium — where it wins
- Serverless CPU and GPU deployments with configurable autoscaling
- REST, streaming, WebSocket, async, and OpenAI-compatible endpoints
- Multi-region controls, batching, Docker deployment, and OpenTelemetry support
Where it doesn't
- Usage-based CPU, GPU, memory, and storage charges require cost monitoring
- Hobby limits teams to 3 seats and up to 3 deployed applications
- Standard adds a $100 monthly fee before metered compute charges
Beam — where it wins
- Serverless GPU inference with workload-based autoscaling
- Queues support retries, callbacks, scheduled jobs, and batch processing
- Cloud, bring-your-own-cloud, and private self-hosted deployment options
Where it doesn't
- Developer limits usage to 5 GPU and 30 CPU containers
- Monthly plan fees are separate from pay-as-you-go compute charges
- Growth includes no published monthly price in the available plan details
- Cerebrium8.5/10 · Free plan · paid from $100/mo
Cerebrium fits teams that need serverless CPU/GPU inference across regions and endpoint styles.
Visit CerebriumFull verdict → - Beam8.4/10 · Free plan · paid from $89/mo
A flexible hosting layer for serverless GPU inference, queues, and batch jobs.
Visit BeamFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update