Calculate VRAM requirements for model training & inference
Total parameters in millions (M)
Floating point precision
Samples per batch
Input sequence length (tokens)
Training or inference
Optimization algorithm
Assumes 100 tokens/sec throughput on modern GPU
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TENSOR PREFLIGHT · DOWNLOADABLE PYTORCH TOOLKIT
Trace a local forward pass, inspect tensor shapes in an HTML report, and turn a repair into a regression check. Includes eight broken-and-fixed workflows, source code and setup instructions.
Use the free calculator for a layer formula or a quick shape check.
Consider Tensor Preflight when you have a local PyTorch model and want a forward-pass report plus repeatable checks. Python 3.9+ and PyTorch 2.8+ are required. It does not run your model in this website or automatically repair it.
Open the sample report before buying to check the output format.
Python 3.9+ · PyTorch 2.8+ · Runs locally