Skip to Content

The convergence of spatial computing and enterprise-grade solutions

Alexandre Embry
Apr 11, 2024

The rise of spatial computing requires to enable spatial processing capability at enterprise grade.

Because of the required technology mix of #immersivetechs, such as AR, VR, MR, combined with and #AI and #ML to involve machines, people, objects and their environments. Because of the level of visualization, interaction and collaboration of complexes #digitaltwins in the #industrialmetaverse.

When scaled, this might be very CPU, GPU, and system resource intensive, requiring a large amount of physical CPU cores, GPUs, memory and network bandwidth. To unlock the full power of this transformative concept for industries, many initiatives from the tech ecosystem are emerging.

A great example comes from Lenovo and NVIDIA. They are collaborating to truly enable enterprises to materialize the possibilities offered by spatial computing, #genAI and digital twin technology in a variety of sectors through a end-to-end solution.

Collaborative XR experiences between multiple users can be easily pixel-streamed from a single workstation to separate spatial computing headsets simultaneously, using 3D software like Autodesk VRED or NVIDIA Omniverse. Great progress in the computing domain.

Read the full article here
Add your voice on LinkedIn

Meet the author

Alexandre Embry

Vice President, Head of the Capgemini AI Robotics and Experiences Lab
Alexandre leads a global team of experts who explore emerging tech trends and devise at-scale solutioning across various horizons, sectors and geographies, with a focus on asset creation, IP, patents and go-to market strategies. Alexandre specializes in exploring and advising C-suite executives and their organizations on the transformative impact of emerging digital tech trends. He is passionate about improving the operational efficiency of organizations across all industries, as well as enhancing the customer and employee digital experience. He focuses on how the most advanced technologies, such as embodied AI, physical AI, AI robotics, polyfunctional robots & humanoids, digital twin, real time 3D, spatial computing, XR, IoT can drive business value, empower people, and contribute to sustainability by increasing autonomy and enhancing human-machine interaction.