The snippet performs the following actions: Sets the working directory using WORKDIR, Copies files using COPY, and Runs a Python script using CMD. It installs the python requirments using requirements.txt file as well.

Direct liquid cooling is the most efficient and effective method for cooling high-density racks, especially those exceeding 30kW. While other solutions may offer some cooling benefits, they are less effective at removing the heat generated by dense GPU configurations.

The 'OOM killer' indicates the system ran out of memory (RAM), not necessarily GPU memory. Reducing batch size (A) reduces memory consumption. Increasing swap space (B) provides more virtual memory. Proactive monitoring (C) helps identify memory bottlenecks before the OOM killer is invoked. Gradient accumulation (D) trades off computation for memory, reducing memory footprint. 'nvidia-smi' (E) manages GPU settings, not system RAM.

GDS requires direct PCle connection between NVMe and GPU for optimal performance. The software libraries must be updated with a version that is GDS-aware to use this feature. Incompatible CUDA/GDS versions can cause failures. If the data has to go to system memory first before going to the GPU then you bypass GDS.

A 'SIGKILL' signal often indicates that the process was forcibly terminated by the operating system or a container runtime. A failing Kubernetes liveness probe is a common cause. If the probe fails, Kubernetes will restart the pod, sending a SIGKILL to the existing process. You can diagnose this by inspecting the pod's events using 'kubectl describe pod or 'runai describe job and examining the liveness probe configuration in the pod's YAML definition. Kernel panics, Run.ai agent time limits, and preemption are less likely to result directly in a SIGKILL signal.