See Edge MLOps in Action Request a Demo
See Edge MLOps in Action Request a Demo
Latent AI lets you take your model, train it, compress it, and then deploy an accurate and secured model designed to work independently on edge devices.
Latent AI integrates trust into your CI/CD software development flow with model development consistency that means reliable edge scaling and deployment.
Latent AI builds industry leading security into the model itself with unique identifiers and integrity checks to prevent tampering.
Latent AI Adaptive AI enables edge models to adapt and self-adjust to their workloads depending on their needs and environments, meaning models require less power while maintaining their accuracy.
By applying software development principles to edge models, Latent AI can build model trust with the same continuous cycles of testing and validation. Latent AI gives organizations what they’ve been missing – a repeatable and scalable path for delivering optimized and secured edge models quickly.
The Latent AI Efficient Inference Platform™ (LEIP) SDK is an automated edge MLOps pipeline that produces optimized secured edge models at scale. LEIP seamlessly integrates with your current processes to build models already pre-configured for your hardware. Supply it with your model and data, and then receive a deployable runtime with an ultra-efficient model ready and secured for your specific hardware and specifications.
Example performance vs PyTorch: YOLOv5 Large, AGX, Int8 quantization
See how LEIP brings AI to the edge by optimizing models for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks. It’s a simplified and repeatable MLOps pipeline that produces ultra-efficient, compressed, and secured edge models rapidly and at scale.
