20210924 13:55:29 Starting on: :6060 Can't find nonce with device, cuda exception in, unspecified launch failure. T-Rex crashes instantly if Memory tweak mode is activated with the following error: "Can't find nonce with device, cuda exception in, unspecified launch failure)". 20211022 00:53:50 Starting on: :4444 Please refer to the information below. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. I was super happy when I mined my first 100 RVN. Trouble comes my way with my first real 'miner build'.I only have 2 GPUs on it because Im waiting for another riser card.It's gonna be a tiny poorboy rig but it's a start.2x 1050Ti, 1x 1050 (and I also have 2 1030s laying around I could slap on it. How to fix T-rex Miner GPU error - Trex : can't find nonce with device, Bad Allocation Muhammed shafi Kandoth 31.1K subscribers Subscribe 491 Share 80K views 1 year ago How to 2021. I'm running a single 3060 Ti LHR card, trying to dual mine ETH+RVN with t-rex. T-Rex 0.26.4 Ethash (100% LHR unlock and dual mining) GPU miner, 7. And when they are both connected throws " Cant find nonce with device, cuda exception: CUDA_ERROR_UNKNOWN. Shares/min: 0 20211022 00:53:47 ethash epoch: 448, block: 13465191, diff: 4.29 G The rig seems to work with 3 GPUs going but as soon as I add a 4th or 5th it crashes. You can refer to the answers, The following summaries about urbana ohio flea market will help you make more personal choices about more accurate and faster information. It's usually DAG size * number of cards + 4-8gb as the size of the pagefile in Windows. 20210924 10:02:48 - How much RVN you saved for the next bull run? Doesn't matter if I OC if the miner iis not running, after every OC change a reboot is needed, else it will error out. Restarting the miner before the system reboots by itself solves the issue. Motherboard: ASUS B450-F Gaming CPU: Ryzen 9 3950x RAM: 16GB XTREEM ARGB Storage: SSD, OS: HiveOS Miner: T-Rex miner Settings: `"lhr-tune": "4,0,0,0"` where GPU #0 is the 3080 Ti.
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