NPU IP

Compute meets memory.

A complementary architecture combining the low-power characteristics of PIM (Processing-in-Memory) with the high reconfigurability of an NPU. Rather than relying solely on automated EDA placement and routing, we use manual physical design to place compute units and memory close together. Minimizing data movement reduces energy consumption, computation time and chip area through PPA optimization.

SUAI PIM-like NPU test chip
SUAI PIM-like NPU test chip

PIM-like NPU IP

Manual physical design
Place compute and memory close together to minimize data movement
PPA optimization
Reduce energy consumption, computation time and chip area together
Post-simulation and measurement
Simulation results obtained · Accredited-lab measurements in progress
Silicon floorplan with compute cores and memory
Silicon floorplan with compute cores and memory

Validation status

SUAI test chips support validation of the NPU architecture in physical hardware.

6–8 TOPS/W · Post-simulation result

0.45 TOPS · 400 MHz · 8-bit × 8-bit integer operations (INT8 × INT8) · Accredited-lab measurement in progress

Semunite presents this post-simulation result as world-leading energy efficiency. Accredited-lab measurements are ongoing; these figures are not final specifications for individual AI SoC products.

Read the CEO interview on technology and validation(new tab)

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