AI / Machine Learning / nn-05
Edge Quantization Compression Suite
Converts enterprise data into faster decisions, measurable quality gains, and defensible automation.
Commercial Scale
$24,650 USD
Risk Reduced
Approval Risk
Executive Situation
Computer vision and language models were too large for edge gateways with limited memory, creating cost and reliability problems in remote deployments.
Modular Solutions Response
We designed a compression workflow with calibration sets, structured pruning, quantization-aware training, and hardware-specific benchmarking. Accuracy deltas are tracked alongside thermal load, throughput, and rollback artifacts for each target device.
Industry
Enterprise Operations
Category
Neural Networks & Deep Learning
Specialty
Optimized
Evidence Basis
Model + MLOps
parameters
INT8 calibration across 9 models
latency
p95 reduced from 131ms to 39ms
training
46 GPU hours
loss
L = CE + α||W||₁ + KL(student,teacher)
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.