tx · GkTxSYUoMvoYrPwssdQgvp91mWUsUM37THEG8AVkESzD
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: -0.00500000 Waves
2023.09.07 10:16 [2744651] data 3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV > SELF 0.00000000 Waves
3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV: CsV5RBBcmwMA1ShDTEBRoSY1wkHFEkLacUkNH5S7y9zF_Ahh2ZrWRgX4bZXXyVo9SvEqv7h4MfXnSWZAMzhDaDbH3_result: " There are several ways to potentially increase the hardware processing time of a LLM (Logical Load Manager). Here are some suggestions:
1. Upgrade the processor: If your LLM is running on a weak processor, consider upgrading it to a more powerful one. This can significantly improve its performance and help reduce hardware bottlenecks.
2. Optimize the operating system: Running an optimized operating system can help improve the overall performance of the system, including that of the LLM. Some ways to optimize the OS include reducing unnecessary startup processes, optimizing code execution times, and minimizing disk I/O operations.
3. Improve memory usage: If your LLM is running out of memory, consider improving its memory usage by either increasing the size of available RAM or using a more efficient algorithm that uses less memory.
4. Use hardware acceleration: Consider using hardware acceleration such as GPUs (Graphics Processing Units) to speed up certain tasks that can be parallelized." -> null
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"version": 2,
"chainId": 84,
"sender": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
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