Cerebras vs Cerebrium

Side-by-side comparison of Cerebras and Cerebrium: pricing, features, API access, and community ratings.

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Cerebras
Cerebras

Fast AI inference on wafer-scale chips

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Cerebrium
Cerebrium

Serverless GPU infrastructure for real-time AI with sub-second cold starts and instant autoscaling

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Category
AI infrastructure
AI infrastructure
Pricing
Freemium
Paid
Starting price
USD 100/mo
Free tier
Audience
All audiences
Technical
API available
Open source
Self-hostable
Model provider
Cerebras (own hardware/inference); supports models including Qwen, GPT-5.6 Sol, Kimi K2.6, Codex-Spark, Meta Scout, and others
Founded
2015
Headquarters
Sunnyvale, USA
Key strengths
  • ·Ultra-fast inference (up to 30x faster than GPUs)
  • ·Wafer-Scale Engine hardware
  • ·OpenAI API compatibility
  • ·On-premise and cloud deployment
  • ·Sub-second to low-second cold starts with GPU/memory snapshotting
  • ·Pay-per-second serverless GPU pricing with no idle costs
  • ·Elastic autoscaling across 12+ GPU types and multiple regions
  • ·No infrastructure rewrites — bring your own code or Dockerfile