Efficient AI model for edge computing - AI tools

EDGENeural.ai is an end-to-end platform that enables AI developers to train, optimize, and deploy deep learning models on edge devices, reducing development time from months to hours.

• Freemium

Latent AI's Efficient Inference Platform (LEIP) is an enterprise AI solution that enables efficient development and deployment of machine learning models at the edge, reducing cloud dependency and operational costs.

• Contact for Pricing

Crynux provides a decentralized, permissionless network for Edge AI, offering scalable AI model services like inference and training via API, secured by blockchain technology.

• Usage Based

GGML is a tensor library for machine learning, enabling large models and high performance on commodity hardware. It's designed for efficient on-device inference.

• Free

Hailo offers breakthrough AI processors designed for high-performance deep learning applications on edge devices, enabling generative AI, perception, and video enhancement.

• Contact for Pricing

CLIKA provides an AI model compression engine to optimize models for speed, size, and hardware deployment, reducing memory footprint and enhancing performance.

• Freemium

Neuton TinyML is a no-code automated platform that builds extremely compact neural networks for microcontrollers and sensors, enabling AI capabilities on edge devices with models as small as 5KB.

• Freemium

ZETIC.ai is a cutting-edge platform that enables companies to transform their AI operations to on-device processing, eliminating GPU cloud dependencies while delivering superior performance and cost savings.

• Free Trial

Nexa AI provides private, cost-efficient, and reliable on-device AI solutions with Tiny Multimodal Models and seamless edge deployment capabilities for various devices and platforms.

• Contact for Pricing