Workloads evolve. Execution should too. XMCP observes each workload and reshapes routing, memory, precision and sparsity at runtime — then proves what it did.
Observe workloads. Adapt execution. Validate behavior. Generate evidence — in one platform.
Live screenshots from XMCP Studio. Representative workloads; all values shown are produced at runtime.
XMCP doesn't run a fixed pipeline. It observes the workload and reshapes itself.
Execution paths chosen dynamically from congestion and traffic prediction.
Stride and reuse patterns prefetch the data a workload is about to need.
Zero work is detected and skipped — sparsity becomes saved cycles and power.
A workload signature steers routing, precision, cache and sparse thresholds.
Synthesizable RTL verified to 100% functional coverage, a developer SDK, a virtual-silicon digital twin and a commercial release — built across five generations of research.
Early access, evaluation sandboxes, research collaboration and industry partnerships.