See how LEIP enables you to design, optimize and deploy AI to a variety of edge devices–at scale. Schedule a Demo
See how LEIP enables you to design, optimize and deploy AI to a variety of edge devices–at scale. Schedule a Demo
Deploying AI on edge devices can be a real challenge. Traditional methods often involve slow development cycles and a high risk of failure when preparing models for mobile phones, cameras, or drones. It is time to adopt new methods with a greater chance of success.
We are excited to introduce LEIP Design, AI development software that helps you select the ideal AI model and hardware combination and fine-tune it to meet your specific requirements.
Today, we are releasing LEIP Design, a core capability of the Latent AI Efficient Inference Platform (LEIP) that provides an end-to-end workflow for creating edge AI. LEIP is fully integrated into key programs within the U.S. Navy and U.S. Army, and it is IL5 compliant, demonstrating security and adherence to strict Department of Defense (DoD) requirements.
One of the biggest challenges in model development is ensuring that a trained model performs efficiently across different hardware platforms. Traditionally, this involves significant time spent reconfiguring, testing, and troubleshooting deployment settings, often discovering too late that a model isn’t a good fit for the target hardware. With LEIP Design, you can quickly choose from models validated across multiple hardware options, explore optimizations, and ensure compatibility—before committing to a deployment path.
LEIP Design streamlines this process by offering a library of over 1,000 pre-tested model-hardware combinations, known as Recipes. Each Recipe is benchmarked for inference speed, power consumption, and accuracy, enabling you to start with your requirements and select the best-fit combination. You can then fine-tune key parameters to meet your specific needs, with full reproducibility allowing flexibility to switch Recipes if priorities shift.
Recipes empower machine learning engineers who may not have the time to prototype and fine-tune their models. They allow them to rely on proven configurations to accelerate the transition of projects into production. Additionally, Recipes make machine learning more accessible by enabling developers without experience in the field to quickly create production-ready models.
LEIP Design is available for upgrade to LEIP customers today. You can read the Design developer documentation or check out product information to learn more. Dive deeper into edge AI optimization with our comprehensive guide: ‘Balancing speed and efficiency: A practical guide to hardware-optimized models.‘ Learn how LEIP Design can help you achieve these optimizations and accelerate your edge AI deployments. If you are new to Latent AI, request a demo today.
