POWOKEClient areaEstimate memory requirements
Account for model weights, activations or KV cache, batch size, context length and framework reserves. Training, fine-tuning and inference differ. Quantization also changes accuracy and compatibility. Validate a small job before increasing batch size.
Pin the software combination
Record driver, CUDA, framework, model and plugin versions. Check model and dataset licenses and maintain a reproducible dependency list. Downloading weights is not the same as completing deployment.
Measure complete cost
Include initialization, model loading, computation and result upload. Compare elapsed time and charges per acceptable output rather than a momentary token rate or best-case image time. Verify hardware, billing periods and prices in the current order.
Protect interfaces and artifacts
Restrict management and inference endpoints, especially those capable of generating large charges. Save checkpoints and outputs to persistent storage. Verify resumability before stopping the instance or clearing the working directory.