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Cerebrium

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Serverless GPU infrastructure for real-time AI

Sitio web:https://www.cerebrium.ai/
Añadido en:13 jul 2026
Visitantes mensuales:
38.9K
Redes sociales y correo electrónico:
Serverless GPUAI InfrastructureReal-Time AILLM ServingVoice AgentsGPU Cloud
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Cerebrium
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Información de la herramienta

¿Qué es Cerebrium?

Cerebrium is serverless GPU infrastructure that enables teams to deploy and scale real-time AI applications such as voice agents, LLMs, and image/video models with sub-second cold starts, instant autoscaling, and no Kubernetes management.

Características principales

  • Sub-second cold starts

    Launch containers in seconds using memory and GPU snapshotting for fast restores, achieving low-latency from the first request.

  • Elastic GPU scaling

    Instant access to thousands of GPUs across multiple clouds and regions with real-time autoscaling, no capacity planning or reservations required.

  • Bring your own code

    Run existing applications as-is by pointing to an entry point or Dockerfile, without rewrites, decorators, or custom SDKs; versioned and reproducible.

  • End-to-end observability

    Full visibility into every request with logs, metrics, scaling events, and system performance in real time, plus native OpenTelemetry support.

  • Security and compliance

    Stable, secure foundation supporting SOC 2, HIPAA, GDPR, and ISO standards, with gVisor isolation, data residency options, and 99.999% uptime via multi-region failovers.

  • Pay-per-second pricing

    Usage-based billing with no reservations or lock-ins.

Casos de uso

  • #1

    Low-latency voice agents

    Deploy voice agents that respond in as little as 500ms, including integrations with tools like Twilio, Pipecat, and LiveKit for real-time conversational AI.

  • #2

    Large language model serving

    Serve LLMs with frameworks such as vLLM, including examples like GPT-OSS and hyperparameter sweeps for models like Llama 3.2.

  • #3

    Image and video generation

    Run image and video models such as Stable Diffusion XL (SDXL) and vision-language models with tools like SGLang or Triton Inference Server with TensorRT-LLM.

  • #4

    High-throughput embeddings and reranking

    Deploy high-throughput servers for embeddings and reranking workloads.

  • #5

    Training and interactive interfaces

    Perform training tasks like hyperparameter sweeps with WandB and deploy interactive interfaces such as Gradio chat UIs.

Lo mejor para:Teams building real-time AI applicationsDevelopers deploying voice agents, LLMs, and multimodal modelsOrganizations needing scalable serverless GPU infrastructure without KubernetesCompanies in regulated industries requiring compliance and data residency

Planes de precios

Pay-per-second pricing with no reservations or lock-ins. Free trial or signup available via Try it now / Sign up.

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Preguntas frecuentes

What is Cerebrium?
Cerebrium is serverless GPU infrastructure for deploying real-time AI workloads including voice agents, video models, and LLMs with sub-second cold starts and pay-per-second pricing.
How fast are cold starts on Cerebrium?
Cerebrium delivers sub-second cold starts by launching containers in seconds using memory and GPU snapshotting for fast restores, ensuring low-latency from the first request.
What is Cerebrium’s pricing model?
Cerebrium uses pay-per-second pricing with no reservations or lock-ins. Free trial or signup is available via Try it now / Sign up.
Can I bring my own code to Cerebrium?
Yes. Point to an entry point or Dockerfile and Cerebrium runs existing applications as-is, without rewrites, decorators, or custom SDKs. Deployments are versioned and reproducible.
What security and compliance features does Cerebrium offer?
Cerebrium supports SOC 2, HIPAA, GDPR, and ISO standards, with gVisor isolation, data residency options, and 99.999% uptime via multi-region failovers.
Which regions does Cerebrium support?
Cerebrium provides multi-region coverage including us-east-1, eu-west-2, eu-north-1, and ap-south-1, with instant access to GPUs across multiple clouds.

Cerebrium Contacto y redes sociales

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Información de la herramienta

Modelo de preciosPaid
CategoríaHerramientas para desarrolladores
Etiquetas
Serverless GPUAI InfrastructureReal-Time AILLM ServingVoice AgentsGPU Cloud
Idiomaingles
Última actualización16 jul 2026
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