XMCP introduces adaptive memory-centric computing designed for intelligent workload execution — routing, precision, sparsity and caching that reshape themselves around the work.
*Average across the five benchmark workload classes vs. a fixed-function baseline.
Traditional accelerators shuttle data back and forth on fixed paths at fixed precision. XMCP makes the architecture adapt to the workload instead.
Select a stage to see what it does and the live metrics it exposes. Signal flows top to bottom.
Pick a workload class and see routing, prediction, sparse reduction, power and latency respond.
XMCP observes itself: workload profile, power, prediction efficiency, optimization, adaptation and health.
Adaptive memory-centric processor. Verified RTL, SDK, virtual silicon and a commercial release.
Scaled multi-tile adaptive fabric with cross-tile workload intelligence and shared prediction.
Optical memory-compute interconnect — adaptive routing extended into the photonic domain.
Early access, evaluation sandboxes, research collaboration and industry partnerships.
Hands-on access to the v1 SDK and virtual-silicon platform.
Run structured evaluations against your own traffic profiles.
Collaborate on adaptive-architecture and silicon-readiness research.
Co-design integration paths toward XMCP-X and XOMP.