Infini-AI-Lab says Vortex hits 3.46x throughput with agent-generated attention
The research framework lets agents write attention flows in Python, compile them into serving kernels, and benchmark end-to-end LLM throughput.
By Ryan Merket · Published
Primary source: infini-ai-lab.github.io
Why it matters
Sparse attention is moving from hand-tuned systems work into programmable search. If Vortex's benchmark claims hold up outside the lab, agents could compress the cycle from idea to serving-speed measurement from weeks of kernel work to minutes.
Infini-AI-Lab at Carnegie Mellon University has released Vortex, a research framework that lets AI agents design sparse-attention algorithms, compile them into fused kernels, and test them inside a real LLM serving stack.…
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