Compression at the Edge
Chris Alexiuk · Daniel Han · Asma Beevi · Merve Noyan · Parth Sareen
AI Engineer World's Fair 2026 · 46:01
Accelerated computing, AI infrastructure and graphics
NVIDIA develops accelerated computing hardware and software for AI, scientific computing, graphics and autonomous machines. Its CUDA platform lets developers use GPU parallel processing for scientific simulations and AI model development, while NeMo supports custom generative AI, including speech recognition and synthesis. GeForce RTX serves gamers and creators; Jetson and Isaac help teams develop and deploy robots and edge AI applications across manufacturing, logistics, healthcare and retail.
Founded in 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem, NVIDIA began with a focus on 3D graphics for gaming and multimedia. Huang remains CEO. The company’s ray-tracing research also contributed to RTX hardware, while its DLSS technology uses AI to reconstruct high-resolution images from a fraction of the rendered pixels.
NVIDIA’s products span cloud, data-center, desktop and edge deployment. DGX Spark supports local AI applications, including personal agents that can switch between local and cloud models. For industrial software developers and manufacturers, its simulation tools support physically accurate digital twins for building, training and testing systems before deployment. Omniverse extends this work with camera, lidar and radar simulation that developers can integrate into existing applications.
Chris Alexiuk · Daniel Han · Asma Beevi · Merve Noyan · Parth Sareen
AI Engineer World's Fair 2026 · 46:01
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Affiliations reflect their AIE appearances, not necessarily current employment.