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NVIDIA Isaac GR00T

Open reference platform from NVIDIA for general-purpose humanoid robots: GR00T foundation model (N1, N1.5), data (Cosmos), simulation (Isaac Sim / Lab, Newton) and Jetson AGX Thor runtime.

Producer:NVIDIAOn-Premises · Edge · HybridReleased:Mar 18, 2024
Regional availability·0 regions
  • global-developer-program
Data residencySovereign cloud
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NVIDIA Isaac GR00T
Supported models
6SLM/LLM
SDK / Languages
2python, c_cpp
Robotics-Ready
✓

Description

NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is an open reference platform for general-purpose humanoid robots. It comprises open data and data pipelines, an open robot foundation model (GR00T N1), simulation frameworks built on NVIDIA Omniverse and Cosmos, middleware, CUDA-X accelerated runtime libraries, and NVIDIA Jetson Thor for real-time robot inference and control.

GR00T models are multimodal (language + images) and cross-embodiment — runnable across diverse humanoid form factors. They are trained on real teleoperation data, synthetic data (GR00T-Dreams, GR00T-Mimic) and internet-scale video, and are adaptable via post-training for specific embodiments, tasks and environments. The workflow spans synthetic data generation, training, evaluation in simulation, and deployment on target hardware.

MLOps LifecycleMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.

11/17 supported

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
2 / 4 supported · 2 unsupported hidden

Feature Store

Online serving — real-time feature serving
Offline storage — feature storage for training
Streaming ingestion — streaming ingestion (Kafka, Flink)
2 / 3 supported · 1 unsupported hidden

Prompt Management

Prompt registry — central prompt repository
Versioning — prompt versioning and history
Testing frameworks — A/B testing and prompt evaluation
1 / 3 supported · 2 unsupported hidden

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
3 / 4 supported · 1 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
3 / 3 supported · none unsupported

Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).

ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.

4

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
PyPythonC+C / C++
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).

See full pricing

Pricing models

Tiered subscription

Resource quotas

Per project
Per user
Cost alerting

SLA & Support

CommunityEnterprise 24/7

Supported AI Models

6

Robotics & Humanoids ExtensionRobotics & Humanoids ExtensionSimulation engines (Isaac Sim, Gazebo, MuJoCo), communication protocols (ROS2, MQTT, Zenoh), robotics standards (URDF, OpenUSD) and edge orchestration.

Robotics-Ready
Robotics standards
  • URDF Support
  • OpenUSD Interoperability
  • Sim-to-Real Pipelines
Edge Orchestration
  • OTA updates (over-the-air)
  • Real-time kernel support

SourcesDocumentation VaultCentralized hub of links to official sources, technical guides, repositories and release notes.

SustainabilitySustainabilityCarbon footprint, renewable-energy share powering data centers, and energy-efficiency metrics (e.g. PUE).

Carbon footprint tracking
aiPlatforms.sustainability.renewableEnergy
GR00T workloads target NVIDIA Blackwell accelerators and Jetson AGX Thor edge modules — energy efficiency figures are reported at the deployment level, not the platform itself.

Data verified: Jun 29, 2026