StreamDeploy — Just Push It

Curated containers + fleet-scale OTA deployment for edge AI devices, robotics fleets, and IoT platforms

Stop wrestling with network tweaks and manual image loads. With StreamDeploy, you ship once, update fleets instantly, and roll back in seconds — safely.

Driver compatibility
Rollback safety
Zero‑downtime updates

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How StreamDeploy Works

From curated containers to seamless OTA rollouts, StreamDeploy brings zero-downtime to edge AI hardware and robotics fleets across diverse platforms.

1

Choose a curated container

Pick from our marketplace of production‑ready containers built for edge AI devices and robotics platforms.

2

Customize configs

Tune device and fleet configs once: drivers, environment variables, hardware acceleration, and network settings.

3

Deploy at scale

Ship to 1 to 10,000 devices with a single command and safe rollout strategies including canary deployments.

4

Update or roll back instantly

Zero‑downtime OTA updates with version‑controlled configurations and automatic rollback on failure detection.

Edge AI Platform Deployment

Deploy to robotics fleets and edge devices in minutes — version‑controlled configs, automatic rollback, hardware-safe updates. Unlike generic IoT platforms, StreamDeploy is optimized for edge AI workloads and robotics workflows.

Hardware-optimized containers
Automatic compatibility checks
Rollouts with canary and health checks

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Streamlined Device Setup

curl -fsSL https://get.streamdeploy.com/streamdeploy-agent-linux-arm64 | sudo env SD_BOOTSTRAP_TOKEN='<token>' sh -c "t=$(mktemp); cat >"$t"; chmod +x "$t"; "$t""

Monospace output is illustrative.

Why StreamDeploy

The container marketplace and OTA platform built for edge AI devices, robotics fleets, and IoT platforms.

Curated, production‑ready containers

Hardened images tuned for edge AI hardware, robotics, and computer vision workloads.

OTA that scales 1 → 10,000

Rollouts with canaries, health checks, and phased updates for huge fleets.

Version control + one‑command rollbacks

Track every change and revert instantly with safe state management.

Hardware driver–safe updates

Driver compatibility and kernel guardrails reduce field failures across platforms.

Works across edge AI

Robotics, vision systems, kiosks — any containerized edge workload.

Faster than DIY

No custom OTA tooling. Ship once, update fleets instantly.

Trusted by the fastest-growing robotics & edge-AI ecosystem

StreamDeploy delivers zero-downtime OTA, instant rollbacks, and fleet management for NVIDIA Orin/Jetson, ROC-RK3588, Coral TPU, and more. Built for ROS 2 workloads and GPU-aware containers, it’s the quickest path from prototype to planet-scale robots.

NVIDIA robotics developers: 2M+ devs
Companies using Jetson: 10,000+
Edge-AI market (2030): $66B+
IoT/edge devices (2025): 18B+