Cerebras is an AI hardware and inference company built around the Wafer-Scale Engine (WSE), the largest processor ever built. Rather than cutting a silicon wafer into individual chips, Cerebras integrates an entire wafer into a single processor, fundamentally eliminating the memory bandwidth bottleneck that constrains GPU-based inference. The Cerebras Inference Platform launched in August 2024 and delivers speeds 10-70x faster than GPU solutions.1)
The latest WSE-3 processor represents a radical departure from conventional chip design:
The 44 GB of SRAM co-located directly on the silicon near compute cores is the critical advantage. For comparison, an NVIDIA H100 GPU has approximately 40 megabytes of on-chip memory. This eliminates the external memory access bottleneck that limits GPU inference throughput.2)
Cerebras has achieved remarkable inference benchmarks:
| Aspect | Cerebras WSE-3 | GPU (e.g., H100) |
|---|---|---|
| Architecture | Entire silicon wafer as single processor | Individual cut chips |
| On-chip Memory | 44 GB SRAM co-located with cores | ~40 MB on-chip memory |
| Inference Speed | 10-70x faster throughput | Baseline |
| Reasoning Latency | Seconds (e.g., 1.2 sec for Qwen3-32B) | 30-90 seconds |
Cerebras operates at significant scale with plans for continued expansion:
The platform supports a growing range of open-weight models:
Custom fine-tuned versions of standard open-weight models can typically be onboarded within 30 minutes.5)
The Cerebras Inference Platform operates as a cloud-based service accessible via API. Enterprise customers include AI model makers such as Mistral AI and AI-powered search engines such as Perplexity AI.