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Published
25/100

Prima Labs describes a self-driving inference stack for agent workloads

AIPrasanna Balaprakash of Prima Labs describes a self-driving inference stack that observes live traffic. It searches configurations from scheduling and KV cache to kernels, and checks correctness before deployment.
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Inference that adapts to each agent workload.

Prasanna Balaprakash from Prima Labs on a self-driving stack that observes live traffic, searches configurations from scheduling and KV cache to kernels, and checks correctness before deployment.

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Original title: Inference that adapts to each agent workload.