AI deployment on edge devices - AI tools

Qualcomm AI Hub is a comprehensive platform for deploying and optimizing AI models on Qualcomm devices, offering seamless integration with various runtimes and support for multiple industries including mobile, compute, automotive, and IoT.

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Edge Impulse is the leading edge AI development platform, accelerating the delivery of next-generation products and solutions by bringing intelligence to any edge device.

• Freemium
• From 400$

Blaize provides AI edge computing solutions, including hardware platforms and a code-free software suite, designed for efficient and flexible deployment of AI applications across various markets.

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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.

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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.

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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

LLMWare.ai provides secure, on-device AI model deployment for Intel PCs and laptops, offering access to 80+ AI models with features like document search, SQL queries, and RAG.

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

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Nota AI provides on-device AI solutions and a platform for optimizing and deploying AI models across various industries. Their offerings facilitate seamless AI integration for any device.

• Other