This video explains five fundamental system performance metrics: (1) Latency is the time for a single request to complete, measured in milliseconds; (2) Throughput is the number of requests processed per unit time, measured in requests per second; (3) Bandwidth is the maximum data capacity of a system, measured in bits per second; (4) Concurrency is the number of requests being handled simultaneously; (5) Parallelism is the number of tasks actually executing at the same time, measured in parallel workers, cores, or nodes.
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Deep Dive
Latency vs Throughput vs Bandwidth vs Concurrency vs ParallelismHinzugefügt:
One latency downwards arrow tip rightwards time for one request to go and come back downwards arrow tip rightwards measured in milliseconds.
Two, throughput downwards arrow tip rightwards how many requests the system processes per unit of time downwards arrow tip rightwards measured in requests per second. Three, bandwidth downwards arrow tip rightwards the max capacity of the pipe itself downwards arrow tip rightwards measured in bits per second bps. Four, concurrency downwards arrow tip rightwards how many requests are being handled at the same time downwards arrow tip rightwards measured in concurrent requests. Five, parallelism downwards arrow tip rightwards how many tasks are actually executing at the same time downwards arrow tip rightwards measured in parallel workers, cores, nodes downwards arrow tip rightwards you care when AI inference batch.
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