Top AI tools for # hardware acceleration

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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GEMESYS develops a fully analog AI chip that brings both training and inferencing capabilities to edge devices, inspired by human brain architecture to overcome current computing bottlenecks.

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Taalas offers a platform to convert any AI model into custom silicon, creating Hardcore Models that are 1000x more efficient than software.

• Other

WinXDVD offers a suite of multimedia software solutions, including AI-powered video/image enhancement, DVD ripping, and data transfer tools. It provides fast, high-quality results with GPU acceleration.

• Paid

Fractile is developing hardware to significantly accelerate AI inference. Their technology aims to eliminate memory bottlenecks, enabling large language models to run much faster and at a lower cost.

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Groq provides high-speed AI inference services for leading openly-available large language models (LLMs), automatic speech recognition (ASR), and vision models via its GroqCloud™ platform.

• Usage Based

ONNX is an open format for representing machine learning models, enabling interoperability between different AI frameworks, tools, runtimes, and compilers.

• Free

NeuReality provides AI-centric solutions designed to simplify the deployment and scaling of AI inference workflows, overcoming traditional system bottlenecks.

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

• Freemium