Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Optimizing TensorFlow or PyTorch for multi-GPU training takes a mix of hardware choices, software setup, and training strategy. Here’s what works. 1. Hardware Setup Connect GPUs with high-bandwidth links — NVLink on NVIDIA cards — to cut communication overhead. Use PCIe Gen4 or NVLink for faster GPU-to-GPU data transfer. Keep thermals in check. Thermal throttling […]
Resolving “Out of Memory” (OOM) killer events on Linux servers requires a systematic approach to identify the cause and implement appropriate solutions. Here are the steps and strategies to address OOM issues: 1. Analyze Logs and Identify the Cause Check System Logs: Examine the /var/log/messages or /var/log/syslog file for OOM-related entries. Search for “oom-killer” or […]
Start by defining the problem. Is a single VM slow, or every VM on the host? Which resource — CPU, memory, disk I/O, network, or the application itself? Note when it started and any recent changes: patches, workload spikes, config tweaks. Step 1: Check resource usage inside the VM Open Task Manager (Windows) or top/htop […]
Configuring Kubernetes Network Policies for pod-to-pod communication means defining rules that control traffic flow between pods. Network Policies are a Kubernetes resource that secures your cluster by limiting communication based on labels, namespaces, and IP blocks. Here’s a step-by-step guide: 1. Prerequisites Network plugin: Ensure your cluster uses a CNI plugin that supports Network Policies […]
Troubleshooting pod crashes in Kubernetes involves several steps, depending on the root cause. Here’s how to identify and resolve them: 1. Identify the Problem Start by gathering information about the pod that is crashing: kubectl get pods kubectl describe pod <pod-name> kubectl logs <pod-name> kubectl get pods: Check the pod status; it might show CrashLoopBackOff, […]
Taints and tolerations let you control which pods can schedule on specific nodes in your cluster. Here’s how to configure them. 1. Understand Taints and Tolerations Taints are applied to nodes to mark them as unschedulable for certain pods. Tolerations are applied to pods to allow them to “tolerate” those taints and be scheduled on […]
