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https://github.com/clearml/clearml-fractional-gpu
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@ -140,7 +140,7 @@ We will keep updating & supporting new drivers as they continue to be released
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**A**: Yes, `nvidia-smi` is communicating directly with the low-level drivers and reports both accurate container GPU memory as well as the container local memory limitation.<br>
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**A**: Yes, `nvidia-smi` is communicating directly with the low-level drivers and reports both accurate container GPU memory as well as the container local memory limitation.<br>
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Notice GPU utilization will be the global (i.e. host side) GPU utilization and not the specific local container GPU utilization.
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Notice GPU utilization will be the global (i.e. host side) GPU utilization and not the specific local container GPU utilization.
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- **Q**: How do I make sure my Python / Pytorch / Tensorflow are actually memory limited <br>
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- **Q**: How do I make sure my Python / Pytorch / Tensorflow are actually memory limited? <br>
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**A**: For PyTorch you can run: <br>
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**A**: For PyTorch you can run: <br>
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```python
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```python
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import torch
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import torch
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@ -165,10 +165,10 @@ Notice that changing it will not remove or reduce the limitation.
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a container process can see any command line running on the host system.
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a container process can see any command line running on the host system.
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If a process command line contains a "secret" then yes, this might become a potential data leak.
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If a process command line contains a "secret" then yes, this might become a potential data leak.
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Notice that passing "secrets" in the command line is ill-advised, and hence we do not consider it a security risk.
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Notice that passing "secrets" in the command line is ill-advised, and hence we do not consider it a security risk.
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That said if security is key, the enterprise edition (see below) eliminate the need to run with `pid-host` and thus fully secure
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That said if security is key, the enterprise edition (see below) eliminate the need to run with `pid-host` and thus fully secure.
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- **Q**: Can you run the container **without** `--pid=host` ? <br>
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- **Q**: Can you run the container **without** `--pid=host` ? <br>
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**A**: You can! but you will have to use the enterprise version of the clearml-fractional-gpu container
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**A**: You can! But you will have to use the enterprise version of the clearml-fractional-gpu container
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(otherwise the memory limit is applied system wide instead of container wide). If this feature is important for you, please contact [ClearML sales & support](https://clear.ml/contact-us).
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(otherwise the memory limit is applied system wide instead of container wide). If this feature is important for you, please contact [ClearML sales & support](https://clear.ml/contact-us).
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@ -183,7 +183,7 @@ An expanded Commercial license for use within a product or service is available
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ClearML offers enterprise and commercial license adding many additional features on top of fractional GPUs,
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ClearML offers enterprise and commercial license adding many additional features on top of fractional GPUs,
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these include orchestration, priority queues, quota management, compute cluster dashboard,
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these include orchestration, priority queues, quota management, compute cluster dashboard,
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dataset management & experiment management, as well as enterprise grade security and support.
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dataset management & experiment management, as well as enterprise grade security and support.
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Learn more about [ClearML Orchestration](https://clear.ml) or talk to us directly at [ClearML sales](https://clear.ml/contact-us)
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Learn more about [ClearML Orchestration](https://clear.ml) or talk to us directly at [ClearML sales](https://clear.ml/contact-us).
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## 📡 How can I help?
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## 📡 How can I help?
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