Analog Compute Systems

Analog Compute Systems — Where AI Meets Physics

Where AI meets physics.

The world’s first analog compute compiler for RRAM and crossbar-based accelerators.

  • GPUs waste power moving data, not computing
  • Scaling AI = scaling energy costs
  • Latency plateaus even with more GPUs

No analog expertise required. Upload model. Compile. Run.

ACS is the compiler layer for analog compute.

Paid Pilot (LOI) — $25K

  • Deliverable: Model running on analog chip
  • Timeline: 45–60 days
  • No exclusivity or IP entanglement

GPUs have hit physical limits.

GPUs waste power moving data, not computing. Cost per inference keeps rising.

ACS unlocks analog compute.

ACS Compiler

No analog expertise required.

FP32-class accuracy

Fixed point + bit slicing.

Hardware Agnostic

MemryX / Rain AI / Aspinity.

How it works

PyTorch / ONNX
     ↓
ACS Compiler (quantization + mapping)
     ↓        ↓        ↓
MemryX SDK   Rain SDK   Aspinity SDK

Request Pilot Access

$25K paid pilot — MemryX / Rain AI qualified

Contact Founder

Analog Compute Systems, LLC

Vanjuan Vladimirov — Founder & CEO

Indio, California

founder@analogcomputesystems.com

© Analog Compute Systems, LLC


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