
ONNX Runtime - Alternatives & Competitors
Production-grade AI engine for accelerated training and inferencing.
ONNX Runtime is a production-grade AI engine designed to accelerate machine learning training and inferencing across various platforms and languages, supporting Generative AI and performance optimization.
Ranked by Relevance
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1
ONNX (Open Neural Network Exchange) The open standard for machine learning interoperability.
ONNX is an open format for representing machine learning models, enabling interoperability between different AI frameworks, tools, runtimes, and compilers.
- Free
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2
Nexa AI Intelligence On Every Device
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
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3
nexa.ai On-Device Gen AI Development Platform for High-Performance Apps
Nexa AI is an on-device Generative AI development platform enabling businesses and developers to build and deploy high-performance, optimized AI applications locally across any hardware.
- Contact for Pricing
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4
Carton Run any ML model from any programming language.
Carton is an open-source tool enabling developers to run machine learning models from various frameworks using a single, language-agnostic API.
- Free
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5
PlayTorch Build AI-powered mobile prototypes in minutes
PlayTorch enables developers to quickly build AI-powered mobile prototypes. It integrates on-device vision and language models and supports cross-platform app development with PyTorch and React Native.
- Free
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6
Onyx The open source AI connecting your company's docs, apps, and people.
Onyx is an open-source AI platform that enhances workplace productivity by providing unified search across company applications and enabling the creation of custom AI assistants.
- Freemium
- From 16$
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7
Latent AI Ultra-fast, secure edge AI platform for streamlined machine learning development
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
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