![Memory Hygiene With TensorFlow During Model Training and Deployment for Inference | by Tanveer Khan | IBM Data Science in Practice | Medium Memory Hygiene With TensorFlow During Model Training and Deployment for Inference | by Tanveer Khan | IBM Data Science in Practice | Medium](https://miro.medium.com/max/1400/1*HCrvlyixgdiKgvIZXzdafQ.png)
Memory Hygiene With TensorFlow During Model Training and Deployment for Inference | by Tanveer Khan | IBM Data Science in Practice | Medium
![onnxruntime gpu performance 5x worse than pytorch gpu performance · Issue #8166 · microsoft/onnxruntime · GitHub onnxruntime gpu performance 5x worse than pytorch gpu performance · Issue #8166 · microsoft/onnxruntime · GitHub](https://user-images.githubusercontent.com/30793581/123554857-6a0eb080-d782-11eb-8b21-840a0ec37c60.png)
onnxruntime gpu performance 5x worse than pytorch gpu performance · Issue #8166 · microsoft/onnxruntime · GitHub
![How to reduce the memory requirement for a GPU pytorch training process? (finally solved by using multiple GPUs) - vision - PyTorch Forums How to reduce the memory requirement for a GPU pytorch training process? (finally solved by using multiple GPUs) - vision - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/2X/9/9c388c65c3afea15d7ca0a19657cdacf5cfb08f1.png)
How to reduce the memory requirement for a GPU pytorch training process? (finally solved by using multiple GPUs) - vision - PyTorch Forums
![Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training | HTML Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training | HTML](https://www.mdpi.com/applsci/applsci-11-10377/article_deploy/html/images/applsci-11-10377-g007.png)
Applied Sciences | Free Full-Text | Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training | HTML
![GPU memory usage increased with the use of pl.metrics · Discussion #6612 · PyTorchLightning/pytorch-lightning · GitHub GPU memory usage increased with the use of pl.metrics · Discussion #6612 · PyTorchLightning/pytorch-lightning · GitHub](https://user-images.githubusercontent.com/7519404/111894612-256acf00-8a47-11eb-8a05-d779ff8cb2be.png)
GPU memory usage increased with the use of pl.metrics · Discussion #6612 · PyTorchLightning/pytorch-lightning · GitHub
![pytorch - Why tensorflow GPU memory usage decreasing when I increasing the batch size? - Stack Overflow pytorch - Why tensorflow GPU memory usage decreasing when I increasing the batch size? - Stack Overflow](https://i.stack.imgur.com/EGDyX.jpg)
pytorch - Why tensorflow GPU memory usage decreasing when I increasing the batch size? - Stack Overflow
![Failing to load models due to CUDA out of memory creates unclear-able allocated VRAM and fails to load when enough VRAM is available · Issue #14422 · pytorch/pytorch · GitHub Failing to load models due to CUDA out of memory creates unclear-able allocated VRAM and fails to load when enough VRAM is available · Issue #14422 · pytorch/pytorch · GitHub](https://user-images.githubusercontent.com/3497875/49111183-438fde00-f244-11e8-9cdc-ba66290287b5.png)