Merging upstream version 1.11.1+dfsg

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 39 insertions, 0 deletions

diff --git a/collectors/python.d.plugin/nvidia_smi/README.md b/collectors/python.d.plugin/nvidia_smi/README.md
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+# nvidia_smi
+
+This module monitors the `nvidia-smi` cli tool.
+
+**Requirements and Notes:**
+
+ * You must have the `nvidia-smi` tool installed and your NVIDIA GPU(s) must support the tool. Mostly the newer high end models used for AI / ML and Crypto or Pro range, read more about [nvidia_smi](https://developer.nvidia.com/nvidia-system-management-interface).
+
+ * You must enable this plugin as its disabled by default due to minor performance issues.
+
+ * On some systems when the GPU is idle the `nvidia-smi` tool unloads and there is added latency again when it is next queried. If you are running GPUs under constant workload this isn't likely to be an issue.
+
+ * Currently the `nvidia-smi` tool is being queried via cli. Updating the plugin to use the nvidia c/c++ API directly should resolve this issue. See discussion here: https://github.com/netdata/netdata/pull/4357
+
+ * Contributions are welcome.
+
+ * Make sure `netdata` user can execute `/usr/bin/nvidia-smi` or wherever your binary is.
+
+ * `poll_seconds` is how often in seconds the tool is polled for as an integer.
+
+It produces:
+
+1. Per GPU
+ * GPU utilization
+ * memory allocation
+ * memory utilization
+ * fan speed
+ * power usage
+ * temperature
+ * clock speed
+ * PCI bandwidth
+
+### configuration
+
+Sample:
+
+```yaml
+poll_seconds: 1
+```
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