Paris, France – July 9th, 2025 – Namla, the Cloud-Native Orchestration Platform for the Distributed Edge, is excited to announce the launch of Edge AI Blueprints, a growing library of ready-to-deploy Edge AI applications designed to help organizations bring their edge use cases to life—faster than ever.

Edge AI Blueprints are pre-packaged, production-ready application stacks covering high-impact use cases such as:

• AI Vision at the Edge (object detection, people counting, license plate recognition)

• Private LLMs at the Edge (offline retrieval-augmented generation, smart chatbots)

• Edge AI Agents (autonomous decision-making for industrial, retail, or safety scenarios)

Each blueprint can be deployed in one click via the Namla platform and includes everything needed to run AI applications at the edge: containerized workloads, orchestration logic, monitoring hooks, and secure edge-to-cloud connectivity.

What makes this library unique is its open and collaborative structure. Edge AI Blueprints are:

• ✅ Pre-validated by Namla for performance, reliability, and hardware compatibility

• 🤝 Developed by third-party Edge AI vendors, enabling turnkey solutions for specialized use cases

• 🌍 Open to contributions from the Edge AI developer community, fostering innovation and collaboration.

🤝 A Growing Ecosystem of Edge AI Partners

Namla is committed to expanding the Edge AI Blueprints library with more use cases, vertical solutions, and hardware integrations—in collaboration with leading third-party vendors and the Edge AI developer community.

“We believe in building a strong, open ecosystem,” said Younes Khadraoui, Co-founder of Namla. “Whether you're an AI startup, a solution provider, or an individual developer, we're open to partnering and publishing your blueprints on the Namla platform.”

Edge AI developers and solution providers are invited to contribute their own blueprints or co-build integrations to reach a growing base of customers in smart cities, retail, industry, and beyond.

To become a partner, visit namla.cloud/partners or reach out to contact@namla.cloud.

🌐 Broad Hardware & Cloud-Edge Compatibility

Edge AI Blueprints are built to run on all major Edge hardware platforms, including:

• NVIDIA Jetson

• Intel x86/NUC

• ARM-based devices

The library will continue to expand to support Intel Arc, Qualcomm Snapdragon, and other emerging Edge AI chipsets.

Namla also supports hybrid deployments across Edge and Cloud nodes. That means you can use Blueprints to run Cloud-Edge AI pipelines, distributing workloads intelligently across the infrastructure—from inference at the Edge to training or data aggregation in the Cloud.

“Edge AI shouldn’t take months to roll out,” said Rabah Guedrez, Co-founder & CEO of Namla. “With Blueprints, we’re compressing the time to value. Whether you’re deploying on Jetson, Intel, or in the Cloud, it’s now just one click away.”

Key Features:

• 🚀 Launch in Minutes – One-click deployment from the Namla UI or API

• 🔄 Composable & Extensible – Customize or chain multiple blueprints

• 🌐 Hardware-Agnostic – Compatible with Jetson, x86, ARM and more

• 🧱 Community-Powered – Contribute your own edge-ready blueprint

• 🔒 Secure by Default – Built-in SD-WAN, observability, and remote management

The Edge AI Blueprints Portal is now live at blueprints.namla.cloud, with new blueprints added regularly. Developers can submit their own blueprints, and enterprises can request private blueprint packages tailored to their use cases.

About Namla
Namla is the Edge AI Orchestration Platform built for the modern distributed enterprise. With Zero Touch Deployment, Kubernetes-native orchestration, and full-stack monitoring, Namla enables organizations to seamlessly deploy and manage AI workloads at the edge—across thousands of sites. The platform supports container and VM-based workloads, with secure networking and remote access baked in.