A bead-furnace project “uses the GPU” through a modern deep learnin…

Question

A bead-furnace project “uses the GPU” through a modern deep learning framework. What does that imply for associate work?

Accepted Answer

GPU-accelerated framework execution is fine; do not turn the item into kernel or NCCL work. — Letting the framework drive the GPU is CUDA awareness with training wheels—allowed and expected. You’re still not writing kernels or drawing NCCL maps.

Answer

Every GPU run requires a handwritten CUDA kernel before the first forward pass.

Answer

Framework GPU use is forbidden until an NCCL topology diagram is submitted.

Answer

Using the GPU means the project must migrate to Domain 6 Helm charts immediately.

A bead-furnace project “uses the GPU” through a modern deep learning framework. What does that imply for associate work?

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