---
title: "From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries"
url: https://daily.dev/posts/from-materials-simulation-to-experimental-astronomy-new-nvidia-ai-software-unlocks-scientific-disco-yvuqje3mr
source_url: https://blogs.nvidia.com/blog/ai-for-science-software-cuda
type: article
source: "NVIDIA"
published: 2026-06-22T13:28:22.741Z
updated: 2026-06-22T13:28:46.503Z
tags: ["nvidia", "gpu", "computing"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries

**[NVIDIA](https://daily.dev/sources/nvidia)** · 6 min read · 0 upvotes · 0 comments

## Summary

NVIDIA is introducing three new software tools at ISC Hamburg to accelerate AI-driven scientific research. cuPhoton is a reference code for processing petabytes of astronomical and photon data, achieving up to 14,900x faster FITS image loading for the Rubin Observatory's LSST survey. DAQIRI is a high-performance networking library for real-time data streaming from fast detectors, used at CERN's ATLAS experiment to analyze collision data that would otherwise be discarded. ALCHEMI is a suite of NIM microservices for chemical and materials discovery, enabling GPU-accelerated molecular dynamics and geometry relaxation simulations. Lila Sciences demonstrated 50x faster materials screening and 6x training/inference speedups using ALCHEMI. All tools are part of the NVIDIA CUDA-X ecosystem and are available or coming soon via GitHub, PyPI, and the NGC catalog.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.nvidia.com/blog/ai-for-science-software-cuda>

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---

Tags: [#nvidia](https://daily.dev/tags/nvidia), [#gpu](https://daily.dev/tags/gpu), [#computing](https://daily.dev/tags/computing)

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