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April 16, 2025
Enabling Distributed Training at the Edge with Namla
Distributed training on edge devices enables machine learning models to be trained closer to data sources, reducing latency and bandwidth usage. This approach is particularly beneficial in scenarios with limited connectivity or strict data privacy requirements. Namla's Platform (PF) offers robust tools for orchestrating such distributed training across edge environments
March 03, 2025
Deploy AI on Nvidia Jetson with Namla & Edge Impulse
Edge Impulse is a leading platform for developing and deploying machine learning models on edge devices. It enables developers to train, optimize, and deploy models on resource-constrained hardware, such as microcontrollers, single-board computers, and GPUs. This report outlines the steps to deploy Edge Impulse models on various edge devices using Namla platform.
January 12, 2025
Announcing Namla for Raspberry PI Edge Orchestration
The Raspberry Pi has become synonymous with innovation, serving as the cornerstone for countless IoT and industrial applications. But managing large-scale deployments of Raspberry Pi devices has always posed challenges — from the time-consuming manual setup to the complexity of orchestrating distributed systems. That changes today.
December 20, 2024
Scaling Edge AI with Kubernetes and Namla's Single-Cluster Strategy
In the era of AI-driven decision-making, Edge Computing is revolutionizing industries by enabling real-time insights closer to where data is generated. Applications like Computer Vision, where video streams must be processed locally to detect anomalies or track objects, and Large Language Models (LLMs), which require low-latency responses for tasks such as real-time translation or customer support, exemplify the need for powerful Edge orchestration solutions. However, deploying and managing AI applications at the Edge presents unique challenges. Distributed infrastructures, resource constraints, and the need for secure, reliable connectivity demand robust orchestration solutions. Kubernetes (K8S) was developed and has been used by IT teams for years to efficiently deploy and orchestrate tens or even hundreds of applications in the cloud. Its proven capabilities make it an ideal platform for managing complex workloads, ensuring seamless scalability, and maintaining high availability across distributed environments.
August 27, 2024
Empower your video surveillance system with AI without replacing your camera's fleet
In today's digital landscape, video surveillance systems are ubiquitous across various industries—retail stores, hotels, public spaces, and systems integrators (SIs) providing security solutions. The majority of these organizations already have cameras installed, primarily serving basic use cases like video live streaming and recording. However, as Artificial Intelligence (AI) continues to advance, these companies are increasingly looking for ways to enhance their video surveillance capabilities, automating manual processes and improving overall efficiency.
August 20, 2024
How MSPs Leverage Namla to Enhance Efficiency and Drive Innovation
As businesses increasingly adopt Edge Computing to support legacy and specialized applications like retail, kiosks, PoS, and security, as well as emerging AI-driven services, the need for robust and scalable infrastructure management has never been more critical. Managed Service Providers (MSPs) are at the forefront of delivering reliable, scalable IT services to their clients. As the demand for edge computing continues to rise, managing and deploying distributed infrastructure has become increasingly complex. Namla, a Cloud Edge Orchestration platform already trusted by numerous companies, including many MSPs, simplifies this complexity and provides a competitive advantage. Here’s how our current MSP partners are using Namla to boost their efficiency, reduce costs, and drive innovation.
August 14, 2024
Nvidia Jetson: From Embedded to Cloud Native
As AI continues to expand its presence at the Edge, Nvidia Jetson has emerged as the preferred platform for solution providers. Its GPU capabilities, combined with lower costs, have led to widespread deployment, especially given the extensive network of OEM Nvidia partners who create customized hardware for various use cases.
August 04, 2024
IDC Forecasts Edge Computing Boom: Namla Poised to Lead in Orchestrating and Managing a Distributed Cloud-to-Edge Future
The latest IDC report forecasts a significant rise in edge computing investments, expected to reach $232 billion by 2024, marking a 15.4% increase from 2023. This growth underscores the essential role of edge computing in AI deployment, whether centralized in the cloud or distributed at the edge, to meet demands for scalability and performance. IDC emphasizes the shift towards robust, localized computing infrastructures to fully harness AI's potential. The report also notes the importance of distributed architectures in enabling AI in edge locations.
July 29, 2024
Leveraging Kubernetes for Private LLMs: Lessons from the Edge
Seeing how our clients utilize our Edge to Cloud Orchestration Platform for their distributed edge infrastructure inspired me to write this blog. In this post, I’ll showcase how you can build your private ChatGPT with the power of open-source LLMs at the edge of your network, granting it access to your data and enabling its use across various devices from anywhere, even while on vacation, without the fear of privacy concerns. This guide will help you leverage the power of edge computing to create a seamless, personalized AI experience that stays with you wherever you go.
July 27, 2024
Lessons from the Crowdstrike Outage: The Importance of Robust Edge Orchestration
Last week, a massive outage affected over 8 million computers worldwide running Crowdstrike. The crash disrupted thousands of businesses and organizations, causing widespread chaos: IT systems went down, flights were canceled, banks halted transactions, factories stopped production, retail shops ceased operations, and companies came to a standstill. This incident shows the challenges companies face with large-scale application deployments and highlights the urgent need for robust edge orchestration to prevent such widespread disruptions and ensure operational continuity.
April 01, 2024
Effortlessly deploy large scale distributed Edge infrastructure with Namla’s Zero Touch Deployment
In the rapidly evolving digital landscape, the deployment of Edge computing devices has become a pivotal strategy for businesses aiming to harness the power of AI and real-time data processing directly at the source of data generation. This trend is particularly visible across various sectors, from retail, with its advanced computer vision for theft detection and self-checkout systems, to the oil and gas industry's push for predictive maintenance on offshore platforms. Such applications not only demand the localized processing capabilities of Edge devices but also underscore the necessity for these systems to be deployed over extensive geographical areas—encompassing hundreds of stores or dozens of offshore platforms spread across continents.
November 20, 2023
Navigating Edge Computing: Latency, Privacy, and Beyond
Welcome to the first part of our series on edge computing. In this series, we'll dive deep into the world of edge computing, exploring its complexity, applications, and impact on modern technology. But before we get into all the details, let's start by understanding what edge computing is and why it's so important in today's digital world.
September 19, 2023
Namla Joins the 5G Open Innovation Lab Batch 8: Unlock Edge Computing with 5G
The future of connectivity and computing lies in the revolutionary platform of 5G. With an anticipated $1.5 trillion investment in standalone 5G networks by 2030, the world is standing at the precipice of another tech revolution. South Korea paved the way in 2019 with its first 5G network, and since then, the global hype has been palpable. Beyond the allure of faster bandwidth and lower latency networks, 5G promises transformative innovations ranging from self-driving cars to advanced AI data processing.
May 08, 2023
Satellite Edge Computing (SEC): Towards AI-Enabled Satellites
Satellites have proven to be very beneficial for large segments of the world population in various applications such as earth observation and space exploration. However, traditional satellites have been limited in their scalability due to their exorbitant costs.
April 17, 2023
Edge AI: Empowering Computer Vision
The widespread availability of the internet and advancements in technology have resulted in machines handling numerous computation-based tasks through either pre-programming or artificial intelligence. This resulted in increased efficiency, eliminating the need for programming and saving time and resources.
March 15, 2023
Empowering Predictive Maintenance: The Role of Edge Computing in the Oil & Gas Industry
Predictive maintenance (PdM) is a critical component of Industrial Internet of Things (IIoT) systems, as it enables organizations to proactively identify equipment issues before they cause unplanned downtime or safety hazards. In industrial settings, downtime can be extremely costly and can have far-reaching consequences, including reduced productivity, missed deadlines, and lost revenue.
June 13, 2022
Edge AI & Edgification of models
One of the several technologies that has benefited from the support and benefits that cloud computing offers is undoubtedly Artificial Intelligence. AI applications depend on a large amount of data, so these solutions require large-scale Cloud data centers for computationally and even storage-intensive processing tasks. There are several use cases for AI in the cloud that are suitable today in several areas. From the health care sector to industry and agriculture and even more.
May 17, 2022
Edge is the true enabler for Industry 4.0
To connect the IoT devices, the traditional approach is to use cloud-based solutions. Those solutions can’t meet several requirements in the industry 4.0, in terms of latency and bandwidth. In several use cases, such as: connected robots, real-time IoT video monitoring, anomaly detection…etc. there’s a real need of a reliable and fast connectivity.