| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Ultra-fast inference API powered by Groq's custom LPU hardware, delivering the fastest token generation speeds available. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($-$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Llama 3.1
- Mixtral
- Gemma
- Ultra-low latency
- OpenAI-compatible
- Tool use
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Extremely fast inference
- Low cost
- OpenAI-compatible
- Multiple open models
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Limited model selection
- Newer service
- No fine-tuning
- Capacity constraints
|
