{"best_for":["Software companies","Enterprise AI teams","ML engineers","Companies with unpredictable AI traffic"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/cerebrium","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/cerebrium.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-010.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: cerebrium (https://aitoolsforbusiness.ai/cerebrium)"},"features":["Sub-second cold starts: Uses memory and GPU snapshotting to launch containers quickly, which helps maintain responsiveness during traffic spikes.","Instant autoscaling: Scales CPU and GPU workloads based on demand to help avoid paying for idle capacity.","Multi-cloud GPU access: Provides access to NVIDIA and AMD GPUs across different global regions without requiring long-term capacity reservations.","Dockerfile deployment: Supports deploying applications by pointing to an entry point or Dockerfile, allowing code to run without custom SDKs.","Infrastructure observability: Includes logs, metrics, and scaling events with OpenTelemetry integration for monitoring system performance.","Compliance and Isolation: Supports SOC 2, HIPAA, GDPR, and ISO standards, using gVisor for container isolation."],"freshness_status":"fresh","name":"cerebrium","pricing_note":"Cerebrium uses a usage-based model based on compute seconds. Tiers include a free Hobby plan, a Standard plan starting at $100/month plus compute, and a custom Enterprise plan.","pricing_url":"https://cerebrium.ai/pricing","primary_category":"Software Development","profile_last_verified":"2026-06-06T17:35:21.129Z","secondary_categories":[],"short_description":"Cerebrium is a serverless AI infrastructure platform designed for deploying and scaling AI workloads like LLMs and voice agents with sub-second cold starts.","slug":"cerebrium","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/cerebrium","use_cases":["Deploying Large Language Models: Supporting production deployment of LLMs using frameworks like vLLM, SGLang, or TensorRT.","Voice Agents: Deploying low-latency voice bots, such as those built with Pipecat or LiveKit.","Generative AI for Image and Video: Running image generation models like SDXL or video generative AI workloads.","Embedding Servers: Serving text-embeddings and reranking models via REST APIs.","Batch AI Processing: Running large-scale batch jobs, such as transcribing audio podcasts."],"website_url":"https://cerebrium.ai/"}