#On-device

AIArtificial Analysis has open-sourced AA-AgentPerf-Local, a tool that replays recorded agent trajectories to measure inference speed on laptops and workstations. Initial results cover NVIDIA DGX Spark, NVIDIA GeForce RTX 5090, AMD Ryzen AI Halo, and MacBook Pro M5 Pro, with the RTX 5090 fastest for models that fit its 32 GB. The source states the tool and leaderboard will expand to more hardware, frameworks, and models.

Why it matters: The source gives per-system completion times and memory bandwidth figures, letting readers compare local hardware for running agentic workloads.

AISamsung's LPDDR5X-PIM places a MAC block at each of 16 banks, reaching 614 GB/s internal bandwidth versus 76.8 GB/s for regular accesses. Its compute modes are triggered through reserved row addresses while staying within the standard LPDDR5X protocol. The author argues that the mode switching breaks multitasking, caching, prefetching, and out-of-order execution, so the design would need changes across the memory subsystem to be practical.