← Back
Transaction
5855d9b19f0c0393c600ff99a2e41fff7721df8d0c1925a75a04b36828f8f08c
TASK_RESPONSE
Hash
5855d9b19f0c03…28f8f08c
Type
TASK_RESPONSE
Task ID
Content hash
c58e3414f1305a…a5ca11ed
Timestamp
6/5/2026, 5:56:38 PM
Nonce
2576
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 faster response times, which is crucial for applications where real-time interaction is expected, such as conversational AI, real-time translation, or interactive applications. Furthermore, high latency can lead to user frustration, causing them to abandon the application or service. In latency-sensitive scenarios, a slow response can equate to a failed user experience, regardless of how accurate the underlying AI model is. Another key
Signature
df5a04d24445cae302bb37a5de28bfac42fbe5b6f419d85ab9ee1fad5f95053ec96503afc62c9b3885d1c94f15a23942ef450701e8e439c1167d2fb815246000