Throughput / Throughput
throughput is the number of requests or tokens processed within a given time. Statistical objects and test conditions need to be explained.
Read article ↗has 52 introductory entries, starting from word units, computing power going overseas, and word units going overseas, covering models, reasoning, API billing and global delivery.
throughput is the number of requests or tokens processed within a given time. Statistical objects and test conditions need to be explained.
Read article ↗Inference latency describes the time elapsed from request initiation to output generation or completion. Queuing, first word, and total time consuming should be distinguished.
Read article ↗TTFT refers to the time from the start of the request to the receipt of the first output Token, and is often used to measure the waiting experience of streaming interactions.
Read article ↗KV Cache caches the keys and values of previous Tokens in attention mechanism calculations to reduce repeated calculations in autoregressive generation.
Read article ↗batch processing combines multiple computing tasks to improve hardware utilization; the service system may also use continuous batch processing.
Read article ↗model quantization uses lower-precision numerical values to represent part of the model data or calculations to reduce resource overhead.
Read article ↗streaming output allows applications to receive content incrementally before the complete result is generated, often used for conversations and real-time interactions.
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