AWS Spatial Computing Blog
Author: Kellan Cartledge
Kellan Cartledge is a Senior Prototyping Architect on the AWS Prototyping and Cloud Engineering team with over a decade of experience designing and implementing transformative solutions across AI/ML, generative AI, cloud infrastructure, real-time graphics, and immersive AR/VR technologies. Kellan thrives on solving complex challenges and empowering teams to push the boundaries of what's possible with emerging technologies.
GPU-Accelerated Robotic Simulation Training with NVIDIA Isaac Lab in VAMS
The open-source Visual Asset Management System (VAMS) now supports GPU-accelerated reinforcement learning (RL) for robotic assets through integration with NVIDIA Isaac Lab. This pipeline enables teams to train and evaluate RL policies directly from their asset management workflow, leveraging AWS Batch for scalable GPU compute. Isaac Lab for Physical AI and Robotics Development Figure 1: […]
From 2D to 3D: Building a Scalable Human Mesh Recovery Pipeline with Amazon SageMaker AI
In the ever-evolving landscape of computer graphics and animation, the ability to automatically generate realistic 3D human animations from video data could transform how digital content is created. From immersive fitness experiences to cutting-edge movie productions, the demand for accurate and lifelike digital human representations has never been more important. However, the process of converting real-world […]
Text-to-Hologram: Unleashing Creativity with AWS Gen AI and Proto Hologram
In today’s digital landscape, where innovation is the driving force behind technological advancements, we find ourselves on the cusp of a paradigm shift. Imagine a world where creating captivating holographic content is as effortless as typing a thought. Thanks to our groundbreaking collaboration with the visionaries at Proto Hologram, this once-futuristic dream has become a […]
Availability and Disaster Recovery for NVIDIA Omniverse Enterprise Nucleus
NVIDIA Omniverse is a revolutionary platform, which allows creators and organizations to collaborate in real-time on 3D designs and simulations. It offers a wide range of integrations and tools to enable teams to work together, and to bring their ideas to life. One of the fundamental aspects of NVIDIA Omniverse is the ability to author […]
Deploying NVIDIA Omniverse Nucleus on Amazon EC2
Introduction This post aims to get users up and running with NVIDIA Omniverse Enterprise Nucleus Server on Amazon Elastic Compute Cloud (Amazon EC2). Here I’ll outline the requirements for Enterprise Nucleus Server deployment and dive deep into the technical steps for getting Nucleus running in your Amazon Web Services (AWS) account. What is Omniverse? NVIDIA […]
An Introduction to NVIDIA Omniverse Nucleus on AWS
Introduction In this post we will discuss NVIDIA Omniverse, a platform for connecting and building custom 3D pipelines, and the potential it offers for Amazon Web Services (AWS) Spatial Computing customers. As well, we will provide high-level details about how AWS addresses important components of connecting Omniverse users. Industry Trends & Challenges In today’s environment, businesses […]