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	# Isaac GR00T N Model Post-Training and Deployment

	GR00T N models are the open foundation models for generalized humanoid reasoning and skills. These models take multi-modal input, including language and images, to perform manipulation tasks in diverse environments. These models are adaptable through post-training for specific embodiments, tasks and environments. To address the challenge of data scarcity for training, synthetic data generation frameworks like Isaac GR00T-Mimic and GR00T-Dreams provide blueprints for creating rich training datasets that augment limited human-collected data. This approach enhances the post-training process, enabling GR00T N models to achieve improved performance on downstream tasks.
	This reference architecture outlines the comprehensive workflow for post-training GR00T N Models using NVIDIA RTX PRO Servers, followed by optimized deployment on the NVIDIA Jetson AGX Thor Developer Kit.
	<br><br>


	![Workflow Diagram](GR00T-reference-arch-diagram.png "Workflow Diagram")

	<br>

	## Bill of Materials
	### Recommended Starter Kit:
	System Specifications for RTX Pro Server
	\| Component \| Specification \|
	\|---\|---\|
	\| RTX PRO SERVER \| 8x RTX PRO 6000 Blackwell Server Edition GPUs; 800 GB GPU Memory \|
	\| Virtualization \| VMware RedHat \|
	\| Containerization \| Kubernetes \|
	\| Storage \| Scalable; Interoperable; Secure \|

	<br>System Specifications for Jetson

	\| Platform \| Specification \|
	\|---\|---\|
	\| Jetson AGX Thor Developer Kit \| Blackwell GPU with 2560 CUDA cores; 14-core Arm® Neoverse®-V3AE CPU; 128GB LP5 memory \|

	<br>

	### Center of Excellence:
	System Specifications for DGX B300 Server
	\| Component \| Specification \|
	\|---\|---\|
	\| NVIDIA DGX B300 \| NVIDIA Blackwell Ultra GPUs; 2.3 TB GPU Memory \|
	\| Virtualization \| VMware RedHat \|
	\| Containerization \| Kubernetes \|
	\| Storage \| Scalable; Interoperable; Secure \|

	<br>System Specifications for Jetson Thor

	\| Platform \| Specification \|
	\|---\|---\|
	\| Jetson AGX Thor Developer Kit \| Blackwell GPU with 2560 CUDA cores; 14-core Arm® Neoverse®-V3AE CPU; 128GB LP5 memory \|

	# Isaac GR00T N Model Post-Training and Deployment

	GR00T N models are the open foundation models for generalized humanoid reasoning and skills. These models take multi-modal input, including language and images, to perform manipulation tasks in diverse environments. These models are adaptable through post-training for specific embodiments, tasks and environments. To address the challenge of data scarcity for training, synthetic data generation frameworks like Isaac GR00T-Mimic and GR00T-Dreams provide blueprints for creating rich training datasets that augment limited human-collected data. This approach enhances the post-training process, enabling GR00T N models to achieve improved performance on downstream tasks.
	This reference architecture outlines the comprehensive workflow for post-training GR00T N Models using NVIDIA RTX PRO Servers, followed by optimized deployment on the NVIDIA Jetson AGX Thor Developer Kit.
	<br><br>


	![Workflow Diagram](GR00T-reference-arch-diagram.png "Workflow Diagram")

	<br>

	## Bill of Materials
	### Recommended Starter Kit:
	System Specifications for RTX Pro Server
	\| Component \| Specification \|
	\|---\|---\|
	\| RTX PRO SERVER \| 8x RTX PRO 6000 Blackwell Server Edition GPUs; 800 GB GPU Memory \|
	\| Virtualization \| VMware RedHat \|
	\| Containerization \| Kubernetes \|
	\| Storage \| Scalable; Interoperable; Secure \|

	<br>System Specifications for Jetson

	\| Platform \| Specification \|
	\|---\|---\|
	\| Jetson AGX Thor Developer Kit \| Blackwell GPU with 2560 CUDA cores; 14-core Arm® Neoverse®-V3AE CPU; 128GB LP5 memory \|

	<br>

	### Center of Excellence:
	System Specifications for DGX B300 Server
	\| Component \| Specification \|
	\|---\|---\|
	\| NVIDIA DGX B300 \| NVIDIA Blackwell Ultra GPUs; 2.3 TB GPU Memory \|
	\| Virtualization \| VMware RedHat \|
	\| Containerization \| Kubernetes \|
	\| Storage \| Scalable; Interoperable; Secure \|

	<br>System Specifications for Jetson Thor

	\| Platform \| Specification \|
	\|---\|---\|
	\| Jetson AGX Thor Developer Kit \| Blackwell GPU with 2560 CUDA cores; 14-core Arm® Neoverse®-V3AE CPU; 128GB LP5 memory \|