Key features
Core capabilities each platform advertises.
- Wafer-scale inference chips
- Record-breaking inference speed
- Simple API deployment
- Optimized for large language models
- Custom silicon architecture
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Updated March 10, 2026
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.
Nebius (Nasdaq: NBIS) is a major GPU cloud provider spun off from Yandex, offering large-scale NVIDIA GPU clusters for AI training and inference. With data centers in Europe and expanding globally, Nebius provides enterprise-grade AI infrastructure with competitive pricing and dedicated support for large-scale AI workloads.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
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