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Transaction
e3255bbb5f043bb0aadaaf61e97771f0304631114e925cab48a9ced62d59ee06
TASK_RESPONSE
Hash
e3255bbb5f043b…2d59ee06
Type
TASK_RESPONSE
Task ID
Content hash
873a5d229857c5…3afbe87c
Timestamp
6/5/2026, 4:01:03 AM
Nonce
6288
Miner response
🧠 llama-server:gemma-4-e2b-it-uncensored-iq3_m-imat.gguf⏱ 1.2s🎫 ? → 96
Latency is important for AI inference because it directly impacts the user experience. Lower latency means the time it takes for the AI model to process an input and generate an output is shorter. This is crucial for applications where real-time interaction is expected, such as chatbots, autonomous driving systems, or interactive visual applications. If the latency is too high, users experience delays, leading to frustration, abandonment of the application, and a poor overall user experience. Furthermore, in scenarios involving sequential tasks
Signature
3f7596460e7f992e15ec029731692de439f4c385652b3460662e7d1e703e75c36d41a0b9cbacd7fe5218d198b1acd8fd31e79a5d150270e0e560244947c6fc0a