Acculux Systems Presents:

HOLOCHIP

Hybrid optical-electronic inference engine for next-generation AI workloads

Infinite
Rank Limit
100%
Throughput
Flat
Latency Curve
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Pythia-160m Shadow Execution

E2E Verification Results

Gold (Lab)
Pass
Sigma: 0.001
Bronze: OFF
✓
"The capital of France is" MATCH
✓
"2 + 2 =" MATCH
✓
"The sky is" MATCH
Silver (DC)
Pass
Sigma: 0.02
Bronze: OFF
✓
"The capital of France is" MATCH
✓
"2 + 2 =" MATCH
✓
"The sky is" MATCH
Bronze (Noisy)
Pass
Sigma: 0.02
Bronze: ON (8-shot)
✓
"The capital of France is" MATCH
✓
"2 + 2 =" MATCH
✓
"The sky is" MATCH
Bronze (Critical)
Pass
Sigma: 0.05
Bronze: ON (8-shot)
✓
"The capital of France is" MATCH
✓
"2 + 2 =" MATCH
✓
"The sky is" MATCH
Performance Analysis

Simulation Metrics

The Performance Wall
LoRA Rank vs Throughput — Optical Injection enables 100% throughput at ANY Rank
The Survival Ladder
Optical Noise vs Inference Accuracy — Bronze Mode maintains 100% across all noise levels
System Architecture

Hybrid Execution Model

Path A
Optical Matmul

Holographic base weights
High throughput

+
Path B
Optical Injection

Streamed delta weights
Infinite flexibility

=
Output
Merged Result

Bit-exact match
with digital inference

Raw Output

Verification Log

pythia_verification_log.txt