Latent AI, an edge computer vision solutions provider, announces the launch of LEIP 3.0, the latest iteration of its Efficient Inference Platform. LEIP 3.0 introduces transformative features that aim to reshape the landscape of edge computer vision design, deployment, and management.
One of the standout features of LEIP 3.0 is its revolutionary ultra-fast approach to AI model design, enabling users to commence training on their data in a matter of minutes. The platform also introduces Recipes, a comprehensive library comprising over 50,000 pre-qualified model configurations. This extensive collection facilitates rapid performance comparisons across various hardware targets, empowering users to identify the most effective model and hardware combination for their specific data.
Jags Kandasamy, co-founder, and CEO of Latent AI, emphasizes the practical impact of LEIP 3.0, stating, “Instead of months of trial and error, users can now find their best model and understand its performance on their hardware before training even begins.”
LEIP 3.0 encompasses a range of new and enhanced features, including streamlined evaluation across model families, a modular approach allowing entry at any point in the MLOps workflow, and a pioneering ability to calibrate int8 for precision and speed. The platform supports both on-premise and private cloud deployment, offering versatility for enterprise applications.
Sek Chai, co-founder, and CTO, underscores LEIP 3.0’s focus on development and performance. “LEIP 3.0 gives you what you need to move your model to deployment far faster with well-qualified starting points for various system choices,” Chai states.
Engineered to optimize edge ML development, LEIP 3.0 serves as a DevOps for ML, integrating computer vision design, deployment, and management into reliable and repeatable software development cycles. Users can fine-tune models based on specific requirements, ensuring optimal training duration, inference speed, and resource usage.
LEIP 3.0 positions itself as a catalyst for faster deployment and addresses common challenges faced by ML practitioners. With its innovative features, Latent AI aims to provide a neutral and streamlined approach to edge computer vision design and deployment, empowering users to scale edge trust and performance seamlessly.
