Namla tackles edge AI scalability with NVIDIA NIMs orchestration
Namla, a technology provider specializing in edge computing and edge AI solutions, now supports NVIDIA NIMs (Inference Microservices) to simplify and accelerate the deployment of generative AI models using ready-to-use inference containers.
NVIDIA NIMs offer pre-trained models optimized for AI workloads but face challenges in scaling, including infrastructure management, observability, and operational overhead.
Namla, an edge orchestration platform built on Kubernetes, addresses these challenges by enabling seamless deployment, management, and scaling of NVIDIA NIMs.
Key features of Namla include provisioning edge GPU nodes, full-stack observability, remote device management, simplified NIM lifecycle management, and secure edge-to-cloud connectivity.
Namla’s integration with NVIDIA NIMs allows enterprises to deploy AI models across distributed environments (edge, on-premise, cloud) with minimal complexity and downtime. The platform accelerates generative AI adoption by providing centralized control, faster time-to-value, and support for use cases like predictive analytics and personalized experiences.
Namla is part of the NVIDIA Inception program, highlighting its role in advancing edge AI innovation and collaboration with NVIDIA technologies.
Namla also supports NVIDIA Jetson and Metropolis platforms, enabling scalable edge AI solutions for industries like retail, healthcare, and manufacturing.
Article Topics
edge AI | edge orchestration | generative AI | GPU | Namla | Nvidia
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