Namla is proud to announce full support for NVIDIA DGX Spark, enabling enterprises to deploy, manage, and operate DGX Spark systems as part of a unified edge AI platform. As AI shifts from cloud-centric processing to distributed, real-time execution, DGX Spark introduces a new class of edge-ready infrastructure—bringing data-center-grade performance into environments such as telecom sites, factories, smart cities, and remote deployments where latency, autonomy, and sovereignty are critical.

With this support, DGX Spark becomes a first-class managed node in the Namla platform. Using Namla’s Kubernetes-native orchestration, customers can now deploy DGX Spark fleets with the same cloud-like operational model: zero-touch onboarding, remote lifecycle management, GPU-aware scheduling, automated health monitoring, controlled upgrades, and consistent governance across all sites. This removes the complexity of managing edge systems individually and turns DGX Spark deployments into repeatable, scalable operations. The same operational model extends to NVIDIA GB10-based partner systems, enabling customers to manage mixed fleets of DGX Spark and certified OEM platforms through a single unified control plane. All supported GB10 systems are onboarded as first-class nodes in Namla, ensuring consistent operations, policy enforcement, and lifecycle management across diverse hardware configurations while preserving flexibility in hardware selection and edge deployment scenarios.

 

Beyond infrastructure management, Namla enables customers to deploy and orchestrate AI workloads on DGX Spark at scale, including Hugging Face LLMs and NVIDIA NIM microservices, with standardized packaging, rollout, and observability. Namla also provides the operational foundation to run complex AI pipelines and multi-model systems locally, ensuring high performance and predictable behavior while keeping sensitive data on-site and reducing bandwidth costs.

Finally, Namla expands DGX Spark deployments into the next phase of distributed intelligence by supporting Edge Agentic AI, including the orchestration of agentic systems and NVIDIA Agentic AI Blueprints. This unlocks real-time autonomous systems that can perceive, reason, coordinate, and act locally—while remaining governed centrally—allowing organizations to move from isolated edge inference to scalable, resilient, and continuously evolving agentic AI platforms powered by DGX Spark.