# Cerebras CS-3
> The Cerebras CS-3 is a third-generation AI supercomputer designed specifically for training massive generative AI models. It is built around the Wafer-Scale Engine 3 (WSE-3), a single silicon wafer chip containing 4 trillion transistors and 900,000 AI-optimized cores.
- URL: https://optimly.ai/brand/cerebras-cs-3
- Slug: cerebras-cs-3
- BAI Score: 72/100
- Archetype: Challenger
- Category: Hardware/Semiconductors
- Last Analyzed: April 9, 2026
- Part of: Cerebras Systems (https://optimly.ai/brand/cerebras-systems)
## Also Referenced By
- NVIDIA (H100/L40S) (https://optimly.ai/brand/nvidia-h100-l40s)
- Google TPU (v5p/v6) (https://optimly.ai/brand/google-tpu-v5p-v6)
## Buyer Intent Signals
Problems: Model Compression/Distillation: Continuing to optimize smaller models that fit within traditional hardware memory constraints rather than scaling to trillion-parameter models. | Project Deferment: Delaying the training of ultra-large scale models due to hardware and energy cost barriers.
Solutions: Wafer-scale AI accelerator | Training 24 trillion parameter models hardware | NVIDIA H100 alternatives for LLM training | Enterprise server for small business data center | Top AI supercomputers 2024 | NVIDIA GPU Clusters: Utilizing large-scale clusters of traditional GPUs (e.g., NVIDIA H100s) to train models via distributed computing. | Google Cloud TPU: Using existing cloud-based TPU (Tensor Processing Unit) resources for machine learning workloads.