Konduit

Run AI models seamlessly across any environment.

Konduit is a versatile framework designed for running AI models efficiently. It supports popular machine learning frameworks like Pytorch and TensorFlow, enabling deployment in various environments, whether on-site, in the cloud, or at the edge.

This framework allows for faster integration of AI applications, streamlining the process for developers and businesses alike. By providing open-source infrastructure support, Konduit fosters collaboration within the AI community. It enhances workflows, making it easier to prototype and manage AI models.

As a result, developers can bring their innovative AI projects to market more quickly and effectively.

What can I use Konduit for?

Run AI models in any environment
Deploy models on cloud or edge
Support open-source AI projects
Accelerate machine learning workflows
Integrate with existing AI tools
Facilitate rapid prototyping of models
Enhance deployment of TensorFlow models
Improve collaboration in AI projects
Streamline AI model management
Enable faster product iteration in AI

What are the key benefits of using Konduit?

Supports various machine learning frameworks
Accelerates model deployment
Flexible deployment options
Open-source infrastructure support
Community-driven development

🚀 Build AI applications ⚙️ Optimize resource allocation 🤖 Prototyping 🎨 Improve project outcomes 🏢 Enterprises ⏱️ Speed 💡 Enhance user experience 🤖 Accelerate workflows 📥 Support 🤖 Support open-source projects 🛠️ Workflows 🤖 Integrate existing tools 🤖 Ecosystem 🌐 Cloud 🚀 Facilitate rapid prototyping