HuggingFace Serverless Inference vs Cerebras Inference
Compare HuggingFace Serverless Inference and Cerebras Inference: free credits, features, and ratings. Which one is right for you?
Category
API Platform
API Platform
Rating
β 3.5
β 3
Free Credits
null monthly variable credits by account tier
null 30 RPM, 60K tokens/min
Refresh Period
monthly
per-minute
Resolution
Watermark
No
No
Commercial Use
No
No
Paid From
Pro $9/month
Pay-as-you-go
HuggingFace Serverless Inference
The 'supermarket' of open-source models. Free serverless inference supports a massive selection of models (LLaMA, Mistral, Falcon, etc.). Unparalleled model variety for research and cross-architecture comparison. Free credits allocated monthly by account tier.γ
Pros
- βLargest model selection covering nearly all open-source models
- βActive community with fastest model updates
- βBoth API and Python library support
- βIdeal for research and comparison testing
Cons
- βLimited free credits, may not be enough for large models
- βOnly supports models under 10GB
- βVPN may be needed in some regions
Key Features
Massive Open-Source ModelsServerless InferencePython SDKModel Hub Integration
Cerebras Inference
Cerebras uses custom WSE (Wafer-Scale Engine) for inference, matching Groq's speed. Free tier: 30 RPM, 60K tokens/min. Currently requires joining a waitlist.γ
Pros
- βExtremely fast inference with WSE chip acceleration
- βGood TPM 60K allowance
- βIdeal for real-time applications
Cons
- βWaitlist required
- βRequires VPN from China
- βLimited model selection
Key Features
WSE Chip Inference30 RPM60K tokens/minUltra-Low Latency