Rethinking Compute for the Physical World
Autonomy demands real-time perception, inference, and control under microsecond latency and strict power limits. Traditional compute architectures were never built for this. Xcelerium’s X2P2 is.
Unified Polymorphic Compute for Safety-Critical Autonomy
The X2PU replaces heterogenous systems built with CPUs, NPUs, DSPs, and FPGAs with a unified polymorphic architecture that executes ML inference, signal processing, physics-based modeling, and deterministic control loops while eliminating memory and execution bottlenecks.
X²PU /ex-squared-PU/ • noun
- Xcelerium Polymorphic Processing Unit.
A unified, real-time compute architecture that replaces CPUs, GPUs, DSPs, NPUs, and FPGAs with a single polymorphic core. - A processor that can dynamically change its hardware personality—DSP, AI accelerator, signal processor, or control core—based on the workload.
- A converged sensor-AI compute unit designed for safety-critical autonomy, eliminating data movement between heterogeneous chips.
Engineered for Real-Time Physical AI
Conventional heterogeneous architectures, built with GPUs, CPUs, DSPs, NPUs, and FPGAs, force autonomy workloads to hop across processing domains, creating latency, inefficiency, nondeterministic timing, and processing bottlenecks.
The X2PU is a polymorphic processor that dynamically shifts its hardware personality—operating as an AI accelerator, a fixed-point DSP, a floating-point linear algebra accelerator, or a control core—based on the workload. This unified architecture eliminates cross-domain data movement and delivers deterministic latency with built-in fault-tolerance for safety-critical autonomous platforms.
Dynamic Reconfigurability
The X2PU reconfigures in real time to adapt to mission demands, update models, rebalance workloads across sensing, AI, connectivity, and control, and evolve system capability without hardware changes.
Resource-Constrained Design
With up to 50× lower power than embedded GPUs, and up to 50× faster real-time processing than SIMD architectures, and up to 100× smaller silicon area than FPGAs, the X2PU enables advanced autonomy previously impossible on compact, battery-powered systems.
Real-Time Autonomy on a Single Chip
The X2PU runs sensor processing, feature extraction, ML inference, multi-sensor fusion, localization, 3D positioning, connectivity, actuation, and control—all with deterministic timing.
Reliability & Mission Assurance
Designed to operate through vibration, heat, interference, fog, glare, dust, and contested or denied environments—ideal for aerospace, defense, robotics, automotive, and industrial systems.
The Result:
A single polymorphic compute core replaces CPU, GPU, DSP, NPU, and FPGA stacks
Converged sensor–AI processing eliminates latency from multi-chip data transfers
Deterministic, microsecond-level timing for real-time autonomy
Reliable operation across fog, glare, vibration, RF interference, and harsh conditions
Unified Compute for Real-Time Autonomous Systems
Xcelerium’s X2PU unifies wireless, radar, sensor processing, AI inference, localization, and control into one mission-ready compute unit. Its polymorphic hardware adapts dynamically to workload requirements, delivering fault-tolerant real-time performance for aerospace, defense, robotics, automotive, and industrial systems.
One X2PU replaces CPUs, NPUs, DSPs, and FPGAs—achieving:
Lower energy than embedded GPUs
Faster real-time sensor processing than SIMD architectures
Smaller silicon footprint than traditional FPGAs
Fault-Tolerant
Execution for Safety Critical Autonomy
Unified
Compute pool with no cross-domain bottlenecks