Normal Computing stochastic processing units
Realizes: Unconventional analog thermodynamic inference
Normal Computing's stochastic processing units leverage probabilistic analog circuits with thermodynamic noise shaping and memristive elements to accelerate AI inference workloads while embracing physical stochasticity.
Examples
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Normal Computing CN101 prototype board
Normal Computing's CN101 prototype board demonstrates analog stochastic inference circuits targeting diffusion models, Langevin samplers, and probabilistic linear solvers.
Stochastic inference workloads for diffusion models, stochastic samplers, and probabilistic matrix operations delivered via analog probabilistic dataflow circuits.
high
chip
pJ-scale