Change what needs to be computed.
More hardware is not the only answer.
Runtime Computing organizes problems into computational spaces, reduces unnecessary states, preserves valid work and routes remaining computation to an appropriate executor.
Add more hardware
Scale the resources used to evaluate the problem.
Control the computation
Structure and reduce the work before consuming more compute, while preserving result semantics.
Split a complex problem into Runtime Spaces and expose the dependencies before spending more compute.
Eliminate states that no longer require evaluation while preserving semantic equivalence.
Reuse already valid computation and its evidence instead of blindly recomputing.
Route only residual computation to an appropriate CPU, GPU, HPC or future QPU executor.
Keep runtime version, hashes, recovery and state-conservation evidence with the result.
“Change the question from “How fast can we compute everything?” to “What actually needs to be computed?””