The World's First Physical Intelligence IP Core

FPGA-Ready / Real-time Resonant Hardware

Explore the Capabilities of the PPU

Physical Processing Unit (PPU)

Harnessing a proprietary, custom-designed physical architecture, we have successfully realized Physical Intelligence (PI) within this high-performance accelerator processing unit.

Physical Intelligence Accelerator

A purpose-built silicon engine for real-world physics — delivering deterministic inference at ultra-low power on the edge.

Architecture 01
PPU Physical Processing Unit
Node Capacity 02
512Nodes Parallel Pipeline Processing
Fmax 03
34.25MHz PYNQ-Z2 (XC7Z020) Optimized
Power Draw 04
1.7W Ultra-Low Power Edge Computing
Interface 05
AXI4-Lite / Stream High-speed Memory Access
Key Logic 06
Chaos Gating Entropy-based Adaptive Control
Real-Time Hardware Benchmark

Conventional CPU Compute vs. PPU

LIVE MEASUREMENT
Benchmark
Standard SciPy (CPU)
PPU
Improvement
Recovery Latency
14.35 ms
1.48 ms
9.7× Faster Response
Control Frequency
~70 Hz
~675 Hz
9.6× Ultra-fast Real-time
Energy Efficiency
Low
High
Maximized Battery Life
Signal Stability
Unstable
Stable
Chaos Gating Active
Live Signal Analysis

Chaos Gating & Resonance Stabilization

PAUSED
Input Data with Chaos High Entropy Signal
Standard Solver Failed to Suppress Chaos
PPU Engine Real-time Resonance & Chaos Gating
Target Equilibrium PPU Output

Simulation Results

Software & Deployment

Program the Accelerator in Pure Python

A lightweight Python library maps node count, control logic, and datapath directly onto the PPU — portable across FPGA families, from tiny edge devices to high-density chipsets.

01

Python Control Library

Define and drive the accelerator entirely in Python — no RTL expertise required to deploy and run.

pip install Pythonic API NumPy Interface Runtime & Profiler
02

FPGA Portability

Not an ASIC. The PPU is synthesizable IP that ports across FPGA families — from compact edge parts to large chipsets.

AMD / Xilinx Intel / Altera
03

Hardware Mapping

Configure node count and map control & compute blocks to the fabric, auto-fitted to the target device's resources.

Node-Count Config Control-Unit Mapping Datapath Mapping Resource Auto-Fit

Versatility of architecture

Applications

Get in Touch for Tailored Solutions

From large-scale projects to custom integrations, let’s build the future together. Drop us a line with your inquiry.