Edge Computing Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI Jun 22, 2026 By Cara Laasch , Adam Thompson , Denis Leshchev and Ramya Gurunathan Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike NVIDIA DAQIRI transforms scientific data acquisition by providing a softwa… …
… Data ingestion : High-throughput connections rapidly transfer images or experiment data to local cluster, supercomputer, or local DGX Spark storage. Parallelization : cuPyNumeric achieves efficient parallelization across available resources by strategically partitioning the global data arrays. …
… Isaac for Healthcare is a domain-specific framework that leverages NVIDIA three computer system for enabling physical AI. It includes MONAI for pretrained models and agentic AI frameworks, where models like MAISI and Vista-3D can generate anatomical synthetic data needed for simulation workflows. …
… He joined the company in 2025 with the acquisition of Gretel. While at the startup, Alex led a team of over 50 scientists and pioneers who were pioneering synthetic data-generation techniques for AI model training and differential privacy. …
… Additional RTX Rendering Technologies Generative AI Face Rendering RTX Neural Faces is a new generative AI algorithm that allows developers to cross the uncanny valley in real time. This AI model is trained on a character dataset built from the original photographs of the model. …
… He was an early engineer at OmniML prior to its acquisition by NVIDIA. He received his Ph.D. in Computer Engineering from Arizona State University. View all posts by Kai Xu View all posts by Kai Xu About Bo Li Bo Li is a senior DevTech Compute engineer at NVIDIA, working on accelerating AI at scale. …
… Under the hood NV‑Generate‑CTMR contains two model architectures: MAISI‑v1 , based on Latent Denoising Diffusion Probabilistic Models DDPM for stochastic image generation with better diversity MAISI‑v2 , based on Latent Rectified Flow , for 33x acceleration in inference speed and image generation w… …
… He works at the intersection of compute, power, and land, helping define how next-generation AI data centers secure energy, scale rapidly, and integrate with constrained electrical grids. …
… Discuss 0 Discuss 0 Tags Data Center / Cloud | Data Science | General | DSX | Run:ai | Intermediate Technical | Deep dive | featured | Kubernetes | Open Source About the Authors About Ronen Dar Ronen Dar is serving as the vice president of Software Systems at NVIDIA, following the acquisition of Ru… …
… By recognizing KV cache as a distinct, AI-native data class, CMX eliminates this excess overhead, enabling up to 5x improvements in power efficiency compared to general-purpose storage approaches. This efficiency extends beyond the storage tier to the compute fabric itself. …