Key features
Core capabilities each platform advertises.
- Multimodal inference optimization
- High-speed inference OS
- Scalable compute
- Multi-model support
- On-device AI deployment
- Edge orchestration
- Scale management
- Device-agnostic runtime
Updated March 27, 2026
The fastest multimodal inference OS — optimized infrastructure for running multimodal AI models at scale.
The default way of running on-device AI at scale — deploy and orchestrate AI models on edge devices.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
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