Key features
Core capabilities each platform advertises.
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- Wafer-scale inference chips
- Record-breaking inference speed
- Simple API deployment
- Optimized for large language models
- Custom silicon architecture
Updated March 10, 2026
Baseten is a model inference platform that lets developers deploy and scale ML models with high-performance GPU infrastructure. It supports custom model deployments with autoscaling, and hosts popular open-source models through its Truss serving framework.
Cerebras builds the world's largest AI chips—wafer-scale processors that contain millions of cores on a single silicon wafer. The Cerebras CS-2 system delivers massive parallelism for AI training and ultra-fast inference for open-source models. Through Cerebras Inference, developers can access some of the fastest LLM inference speeds available, particularly for Llama models.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
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Choose Cerebras if you wantChoose if you want
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