Unverified50% confidenceFactExact time
The core metrics of an inference framework are the number of tokens that can be processed per unit of hardware per second (throughput) and the response latency per request (TTFT, TPOT).
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10/21/2026
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VerifiedTime to First Token (TTFT) refers to the time interval between a user submitting a request and the model outputting the first token, and is primarily constrained by the time cost of the prefill phase in which the model processes the input prompt.73% similarUnverifiedStreaming inference architecture completely decouples the user's perceived latency from the total generation time and is the core architectural strategy for achieving low-latency TTS.71% similarUnverifiedAs a command-line tool, ttok's main use is to quickly count the number of tokens in text within the terminal.69% similarUnverifiedThe context window is the maximum number of tokens an LLM can process in a single inference, including the system prompt, memory files, conversation history, and the code of the current task, and it is a fixed budget.69% similarUnverifiedAs a router, PAIR distributes requests across multiple inference endpoints, sensing in real time the compute status, load levels, and model deployment conditions of each device, and directing inference requests to the most suitable node.68% similar
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