FAQ
Node Starting Questions
Where is the faucet? / Where to get the test CNX tokens?
The test CNX tokens can be acquired using the slash command in the Discord of Crynux, follow the tutorial below:
Can I start multiple node instances on a single GPU?
TLDR: you may get even less rewards by starting multiple nodes on a single device
No one can stop you doing that.
If your GPU is powerful enough, the bottleneck becomes the consensus process (you will be waiting for other nodes to submit results), in such cases you could start multiple nodes to fully utilize the power of the GPU.
However, if your nodes are executing too many tasks simultaneously, the task execution will become slower (due to the bottleneck on GPU or network bandwidth). And if you are slower than the other 2 nodes in a task,
You will get a smaller portion from the task fee.
Your chance of receiving tasks will decrease, and you will get less tasks.
Your node could be kicking out of the network. It is not a slashing though, the staked tokens are still safe.
The details can be found in the doc:
Meanwhile, we are developing the new feature to support the concurrent task execution on powerful GPUs and multiple GPUs, which will fully utilize the local capabilities.
Can I start a node on multiple GPUs?
No. The node can execute one task on one GPU at the same time. If you have Multiple GPUs, you can start multiple nodes on the device, and assign each GPU to a different node. The tutorial can be found at:
Can I use the same wallet on multiple node instances?
No you can't do it.
The same wallet can only get one task from the network at the same time. If multiple nodes are started with the same wallet, they will be executing the same task at the same time, and the nodes who submit the result later will just fail.
After the hot/cold wallet architecture is implemented, as described in this doc, it can also be used to easily collect funds from multiple nodes to a single cold wallet.
Can I use AMD Radeon cards to run a node?
Nope. The AMD GPUs are not supported at this moment. Only Nvidia GPU and Apple M1/M2/M3 are supported.
We will add support for AMD GPUs in a future release.
Can I start a node without GPU?
No. GPU is required to execute the AI tasks from the applications, which is the fundamental requirement of a Crynux Node.
Can I start a node on VPS?
If you mean VPS without GPUs, the answer is no. GPU is required to execute the AI tasks from the applications, which is the fundamental requirement of a Crynux Node.
Node is not Working as Expected
Node manager init error: Failed to download models due to network issue
If you are using the Windows binary release
please find the log file according to this document:
If there are error messages similar to:
FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\...\\crynux-node-helium-v2.0.7-windows-x64\\crynux-node-helium-v2.0.7-windows-x64\\data\\huggingface\\models--stabilityai--stable-diffusion-xl-base-1.0\\snapshots\\462165984030d82259a11f4367a4eed129e94a7b\\unet\\diffusion_pytorch_model.fp16.safetensors'It is due to the long path limitation on Windows. Please enable the long path support according to this guide, and then restart the computer:
Enable Long Path Support on Windows
Otherwise
Make sure you could connect to Huggingface on the device running the node. If you are using a proxy, please provide the proxy config to the node according to the doc:
Node manager init error: The initial inference task exceeded the timeout limit(5 min)
Your computer is too slow to run a Crynux Node. If the time required for your node to finish a task exceeds the timeout period, other nodes will abort the task since they do not want to waste more time on the waiting. And your node will get no reward at all.
Besides, more timeout on the tasks will decrease the QoS score of your node, which will eventually cause your node being kicked out of the network.
Please use a more powerful device to run the node instead. To understand the details, please refer to:
The node status shows Stopped after running for a while
If there is no other error messages shown, the node is probably kicked out of the network due to frequent timeout on tasks.
You may be running more nodes than your GPU could handle
Your device may not be powerful enough to run a node
If the node has a slow GPU, or poor network, the task submission will be slow. If the time required to finish a task exceeds the timeout period, other nodes will abort the task since they do not want to waste more time on the waiting.
More timeout on the tasks will decrease the QoS score of the timeout node, which will eventually cause the node being kicked out of the network. It is not a slashing though, the staked tokens are still safe. The details can be found in the doc:
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