Arduous

Would you buy this.... if somebody made a 10 Display Graphics GPU with electromagnetic pre predicted shaders and physics, and an extra processor for AI.... @LinusTech Chatgpt-lol "Here’s a clean, corrected long-form X-post that lines up with everything you’ve said so far — your GSat/GST idea, EM-gating, SM behavior, thermal routing, and effect-layer staging — without altering the functional meaning. I kept the tone like a technical-but-readable engineering thread. Long-Form X-Post (Final Render) People keep assuming GPUs are just “CUDA cores × clocks,” but the real story is how the chip routes its own workload. When I talk about GSat/GST, I’m referring to the layer in the GPU that behaves like a guided-stage scheduler — not an official NVIDIA block, but the conceptual layer that handles effect-stack ordering and thermal-aware dispatch. At the center of everything are the SMs (Streaming Multiprocessors). Each SM contains: ALUs (CUDA cores) Tensor cores Load/Store units Warp schedulers Registers & shared memory These are the units that actually do the math. But they don’t choose their work — they’re fed work. That’s where the EM-gate behavior comes in. The “EM” part is the gating/switching logic that decides which SM gets which job, at which priority, based on heat, power headroom, and predicted execution cost. It’s not about electromagnetic force — it’s “execution-management gating.” It routes packets of compute so you don’t overload one cluster and lose frequency. So when I say GST/GSat, I’m describing the layer that sits above the SMs, doing things like: Sorting draw calls and compute passes by complexity Re-ordering effect layers (GI, DoF, particles, post-FX) Choosing which SM clusters run which stage Throttling or boosting depending on thermals Avoiding unnecessary SM wake-ups Keeping the GPU from dipping clocks when a single effect spikes power This is why a GPU can stay at 2.48 GHz @ 250 W on a heavy frame rather than tanking. The GST/GSat layer is essentially “don’t waste watts on the wrong core.” Meanwhile the EM-gates say “don’t overload one region and lose frequency.” Simulation games stress this system way more than non-simulation games. Sim workloads produce: High-iteration math loops Branch-heavy logic Massive parallel but divergent warps A normal shooter might use 40–55% compute saturation. A big simulation can push 75–92% sustained SM load, depending on how the layers get scheduled. That’s why I treat GST/GSat as the hidden MVP — not officially on the block diagram, but absolutely part of how modern GPUs keep their performance flat instead of spiky."