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Cerebrium
Available NowBest for Developers deploying generative AI, TTS, or voice agents who need instant serverless scaling and sub-second cold starts.
Cerebrium is a cutting-edge serverless AI infrastructure platform designed to eliminate the complexities of ML deployment. Instead of provisioning and maintaining virtual machines, developers simply upload their PyTorch or Hugging Face models, and Cerebrium instantly scales them from zero to thousands of GPU inferences per second. Offering sub-second cold starts and a “pay-per-millisecond” billing model, it drastically reduces infrastructure waste for applications with highly variable traffic. It is the modern alternative to managing AWS SageMaker endpoints.
Pros & Cons
Pros
- Incredible sub-second cold starts
- True serverless scale-to-zero billing
- Massive support for voice and LLM frameworks
Cons
- Not designed for long-running training jobs
- Platform lock-in for specific deployment pipelines
Ideal Use Cases
Scalable ML APIsServerless InferenceVoice AI Workloads
| GPU Models | A100, T4, A10G, L4 |
| GPU Types | A100, A10G, L4, t4 |
| Headquarters | London, UK |
| Founded | 2021 |
| Availability | Available Now |
| Website | cerebrium.ai ↗ |
$0.0002/ hour (starting)—$0.004/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
US East
EU Central
Starting from
$0.0002/hr
Up to $0.004/hr
Frequently Asked Questions
Cerebrium GPU cloud pricing starts from $0.0002/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Cerebrium offers A100, T4, A10G, L4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Cerebrium operates data centers in EU Central, US East. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Cerebrium and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Cerebrium offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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