Cerebras
Cerebras is a Inference / Hardware based in Sunnyvale, CA (United States), founded around 2016.
Wafer-scale engines for training and fast inference; hosts open models at high speed.
Company overview
Cerebras competes in the global AI stack as a Inference / Hardware. Buyers typically evaluate them on model quality, price/performance, ecosystem (APIs, cloud regions, developer tools), language coverage, and compliance posture.
- Headquarters: Sunnyvale, CA
- Country / region: United States
- Founded: 2016
- Category: Inference / Hardware
- Website: https://www.cerebras.ai
Strategic strengths – what they are good at
- Wafer-scale training
- Fast inference APIs
- Open model serving
How teams usually use Cerebras
- Builders / startups: ship product features and agents with the best price-quality tier.
- Enterprise: prioritize SLAs, data residency, IAM, and cloud marketplace integration.
- Researchers / open-source: fine-tune or self-host when open weights exist.
- Creators: use media/voice lines when this company ships image, video, or TTS models.
Evaluation checklist
When comparing Cerebras against peers, verify: (1) latest official model cards on your task, (2) real token cost under agent harnesses, (3) latency / TPS, (4) tool-use and computer-use quality, (5) policy and regional availability.
Models from Cerebras (1)
Click any model for a full page: specs, benchmarks, pricing signals, strengths, limitations, and when to pick something else.
Benchmarks and prices are directional mid-2026 public/provider figures – re-check official docs before procurement.