Cerebras
AI inference platform built on proprietary wafer-scale chip technology designed for ultra-fast model serving.
Overview
Cerebras is an AI inference platform built on proprietary wafer-scale chip technology designed for ultra-fast model serving. The platform claims 15x faster inference than GPUs and supports deployment across cloud, dedicated, and on-premise environments with drop-in OpenAI API compatibility.
The platform serves a range of use cases from real-time applications requiring sub-second latency to complex reasoning tasks. Cerebras offers both inference-only and training capabilities, allowing users to fine-tune or pre-train models on the same infrastructure. The company partners with major cloud providers and enterprises including OpenAI, AWS, and GSK.
Key features
- Ultra-fast inference (15x faster than GPUs)
- Wafer-scale chip architecture
- Cloud, dedicated, and on-premise deployment
- OpenAI API compatibility
- Multi-model support (Llama, Qwen, GLM, etc.)
- Fine-tuning and training on same platform
- In-region inference with data residency compliance
- Sub-second latency for complex reasoning
- Exceptional inference speed enabling new application patterns
- Flexible deployment options across cloud and on-premise
- Drop-in API compatibility reduces migration friction
- Integrated training and inference on single platform
- Enterprise-grade support and SLAs available
- Cost-effective compared to GPU alternatives
- Limited to inference and training workloads (not general compute)
- Proprietary hardware dependency
- Smaller model ecosystem compared to GPU-based platforms
- Cerebras Code product marked as sold out
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