Together AI has introduced a new research agenda called Polymorphic Inference, designed to address the rapid evolution of AI models, architectures, and hardware. This approach contrasts with traditional Static Inference, which was suited for a less dynamic landscape. Polymorphic Inference aims to create adaptable inference systems that can continuously optimize themselves using AI agents and techniques like Continuous Compilation to handle the increasing velocity of open-source model releases and diverse traffic shapes. AI
IMPACT This approach could lead to more efficient and adaptable AI inference, crucial for handling the rapid pace of new model releases and evolving hardware.
RANK_REASON The item describes a new research agenda and technical approach for AI inference systems. [lever_c_demoted from research: ic=1 ai=1.0]
- Continuous Compilation
- FlashAttention
- GB300
- Nvidia B200
- OpenRouter
- Polymorphic Inference
- ThunderAgent
- ThunderKittens
- Together AI
- Vera Rubin
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