Armada operates a full-stack edge computing platform combining NVIDIA hardware, Kubernetes orchestration, and containerized data centers deployed globally. The tech stack reveals dual tracks: cloud-native infrastructure (Kubernetes, Docker, Terraform, Ansible) paired with satellite connectivity (Starlink, Viasat adoption) and specialized compute runtimes (KVM, KubeVirt, SLURM). Active projects span containerized data centers, orbital satellite infrastructure, and GPU-as-a-Service platforms — indicating a pivot toward space-qualified and remote-deployment architectures. Engineering dominates the 131-person hiring pipeline, with senior roles concentrated in infrastructure and distributed systems.
Notable leadership hires: Director of Product
Armada delivers edge computing infrastructure for AI workloads and connectivity in geographically distributed or contested environments. The platform integrates NVIDIA accelerators, Kubernetes clusters, and satellite uplinks (Starlink, Viasat) to enable compute deployment where traditional cloud cannot reach — orbital operations, remote sites, and denied-access zones. Current focus spans containerized data centers (Galleon), mesh networking, and real-time analytics pipelines. Sales and go-to-market remain nascent relative to engineering, while manufacturing and security roles suggest hardware production and compliance complexity. The company operates across seven countries with primary presence in San Francisco.
Armada uses NVIDIA hardware, Kubernetes orchestration, Docker containerization, SLURM workload management, and satellite connectivity (Starlink, Viasat). Projects include Galleon containerized data centers and KVM-based virtualization for edge nodes.
Active projects include Orbital Galleon, satellite communications product suites, orbital compute adaptation, and COTS hardware customization for space. The company is scaling AI infrastructure to orbital and remote-deployment scenarios using Kubernetes and containerized architectures.
Armada's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.