ROS 2 DDS
AI PlatformAI-native
NVIDIA Halos (for Robotics)
NVIDIA Halos for Robotics — full-stack functional safety system for physical AI (launched June 22, 2026). IGX Thor + FSI, Holoscan Sensor Bridge, Halos OS + accredited ISO/IEC 17020 lab.
Regional availability·0 regions
- Global early access (registered developers)
Data residencySovereign cloud
SDK / Languages
2c_cpp, python
Robotics-Ready
✓
Description
NVIDIA Halos for Robotics is the first comprehensive functional safety platform for physical AI, announced on June 22, 2026. Halos transfers NVIDIA's autonomous vehicle heritage to robotics: over 18,600 engineering years of safety work and more than 7 million lines of certifiable code. The first deployment is the fifth-generation Digit humanoid from Agility Robotics, targeted for late 2026.
Three-layer architecture
Hardware layer — NVIDIA IGX Thor module with isolated Functional Safety Island (FSI) and Holoscan Sensor Bridge (HSB) connecting sensors to the compute platform with low latency over 10 GbE.
Software layer — Halos OS, a safety-rated operating system available in Linux and Linux+QNX configurations. Halos Core SDK available in early access for registered developers.
Certification layer — NVIDIA Halos AI Systems Inspection Lab accredited by ANAB (ISO/IEC 17020) as an inspection body. Humanoid manufacturers verify in the lab that their software, AI components and cybersecurity protections meet IEC 61508, ISO 13849 and ISO/IEC TR 5469 standards.
Outside-In Safety Blueprint
The open-source blueprint available on GitHub inverts the classic Inside-Out logic: a traditional robot perceives the world only through its own sensors and slows down upon detecting an obstacle. Outside-In redirects data from external facility cameras into a four-stage pipeline: SIPP (Sensor Input Processing Pipeline) converts video streams to tracking events, SAIM (Safety AI Monitor) detects environmental degradation and anomalies, SEI (Safety Event Integrator) validates events, SDM (Safety Decision Maker) makes decisions. In a warehouse scenario, when the external system confirms no humans are present, the SDM can temporarily lift the robot's speed constraints.
Partner ecosystem
Over 40 companies participate in the Halos ecosystem — from semiconductor suppliers (Infineon, Texas Instruments) to certification bodies (TÜV Rheinland, UL Solutions). TÜV Rheinland is inspecting the IGX Thor module and Halos OS for functional safety certification readiness — the results will be the first real-world test of the system's credibility.
First customer: Agility Robotics
Agility Robotics has so far deployed Digit exclusively behind physical barriers (workcells). The fifth-generation Digit targeted for Q4 2026 will achieve cooperative safety — operating alongside humans without fencing. The key is the IGX Thor module running Halos Core executing certified software. According to CEO Peggy Johnson, this opens the path to deployments at Amazon, GXO, Schaeffler and Toyota facilities.
MLOps LifecycleMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.
Model Registry
Versioning — model artifact versioning
Approval workflows — approval workflow before production
Immutable artifacts — immutability of stored versions
Lineage tracking — tracking data and model relationships
4 / 4 supported · none unsupported
Monitoring
Data drift detection — input data drift detection
Concept drift detection — concept drift detection
Hallucination monitoring — LLM hallucination monitoring
Bias evaluation tools — bias evaluation tooling
2 / 4 supported · 2 unsupported hidden
Human-in-the-Loop
Labeling services — data labeling tools
RLHF workflows — reinforcement learning from human feedback
Manual override — manual override of model decisions
1 / 3 supported · 2 unsupported hidden
ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.
SecurityEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.
Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.
SDK Languages
C+C / C++PyPython
API Type
RESTgRPC
Community & resources
Templates library
Quickstarts
API Reference
Tutorials
Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).
Pricing models
Tiered subscription
Resource quotas
Per project
Per user
Cost alerting
SLA & Support
Enterprise 24/7Standard
Robotics & Humanoids ExtensionRobotics & Humanoids ExtensionSimulation engines (Isaac Sim, Gazebo, MuJoCo), communication protocols (ROS2, MQTT, Zenoh), robotics standards (URDF, OpenUSD) and edge orchestration.
Robotics-Ready
Communication protocols
Data Distribution Service (DDS)
Robotics standards
- URDF Support
- OpenUSD Interoperability
- Sim-to-Real Pipelines
Edge Orchestration
- OTA updates (over-the-air)
- Real-time kernel support