TLDR Tech / AI
Benchmarking Inference Engines on Agentic Workloads
Agentic workloads are transforming inference engine benchmarks, necessitating multi-turn, tool-using scenarios that challenge KV cache management and scheduling due to longer traces and diverse token distributions. Applied Compute has introduced three workload profiles and an open-source benchmarking tool to re-create these scenarios, highlighting the need for solutions such as KV cache offloading and workload-aware routing to boost throughput and efficiency.
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