Cerebrium
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. 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 second cold starts. Deploy using standard Python code with no migration needed, with built-in support for batching, websockets, and ASGI apps. Backed by Y Combinator, used by Tavus, CivitAI, and Twilio.
Pricing: Pay-per-second
Cerebrium Alternatives
Explore 79 products in the Inference APIs category. View all Cerebrium alternatives.
IONOS AI Model Hub
OpenAI-compatible API for open-weight LLMs and image models, hosted in IONOS EU data centers
Opper
EU-hosted AI gateway serving 300+ models through one OpenAI-compatible API
CheapestInference
Flat-rate unlimited inference on open-weight models, sold in daily 8-hour windows
Lyceum
EU-hosted inference cloud for open-source models, OpenAI-compatible
vLLM
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
Work on Cerebrium? Feature it at the top of Inference APIs.
Is your product missing?