Unlock the Full Potential of NVIDIA Jetson at Scale

Namla empowers businesses to seamlessly deploy, orchestrate, and manage AI workloads on NVIDIA Jetson Edge AI devices. From individual projects to massive global deployments, our cloud-native platform accelerates time-to-market, simplifies operations, and ensures scalability without compromising performance.

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Why Namla for Jetson?

Namla leverages Kubernetes orchestration, tailored for Edge AI deployments, to provide a streamlined, zero-touch experience for managing NVIDIA Jetson devices. Whether you’re in smart cities, industrial automation, retail, or AI vision applications, Namla’s platform ensures:

• Rapid Deployment: Zero-touch provisioning of Jetson devices across thousands of locations.
• Scalability: Orchestrate AI containers and VMs efficiently at scale.
• Full Stack Observability: Real-time insights into GPU usage, network performance, and device health.
• Seamless Connectivity: Secure Edge-to-Cloud communication with Namla’s SD-WAN technology.

Key Features

Zero Touch Deployment of Nvidia Jetson

Namla’s automation eliminates the need for on-site technical technicians. Devices powered by NVIDIA Jetson can be pre-configured, shipped, and activated remotely within minutes. • Reduce deployment time by up to 80%. • Support for containerized and VM-based applications.

Full stack monitoring & Observability

Monitor the full lifecycle of your Edge AI devices: • GPU resource consumption. • Network utilization and connectivity health. • Application performance and issue identification. With Namla’s observability tools, you can troubleshoot and optimize NVIDIA Jetson devices from anywhere in the world.

Cloud Native Orchestration

Namla integrates Kubernetes orchestration at the Edge, ensuring a robust and flexible environment to manage workloads at scale. • Deploy and manage AI applications effortlessly. • Support multi-tenancy, multi-applications, and resource optimization.

Edge-to-Cloud Secure Connectivity

Namla has introduced the first Cloud Native SD-WAN solution designed to run on Nvidia Jetson devices, providing secure and reliable edge-to-cloud connectivity critical for mission-critical applications. Namla SD-WAN establishes a flat network between all nodes (edge and cloud), enabling the seamless creation of complex MLOps pipelines within a single cluster, spanning from cloud to edge.

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Scale your Edge LLM with Namla

Large Language Models (LLMs) are no longer confined to cloud environments. With Namla, you can seamlessly deploy and scale Edge LLMs on NVIDIA Jetson devices, bringing the power of advanced AI language models closer to the data source.

Why Edge LLMs?

Edge LLMs enable real-time processing and decision-making for latency-sensitive applications, unlocking use cases where speed, privacy, and local processing are critical.

Key Benefits of Scaling Edge LLMs with Namla

1. Ultra-Low Latency

   Deploy LLMs directly at the Edge to reduce inference times and ensure immediate responses for critical applications like customer service, industrial automation, or safety systems.

2. Enhanced Privacy

   Keep sensitive data local with on-device processing, ensuring compliance with privacy regulations while reducing dependency on cloud infrastructure.

3. Efficient Resource Utilization

   Leverage the optimized power of NVIDIA Jetson GPUs to run lightweight or fine-tuned LLMs without compromising on performance.

4. Seamless Scaling

   Namla’s Kubernetes-based orchestration allows you to deploy and manage LLMs across thousands of Edge devices, ensuring consistent performance and resource allocation

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Industries We Empower

Compatible Devices