SNIA’s Post

💻 We hope you will join us on Monday, December 9th, for our next webinar installment: "DesignSafe: Data Challenges for National Scale Cyberinfrastructure." During this session, we will hear from Chris Jordan, lead of the Data Management and Collections group at the Texas Advanced Computing Center (TACC). To register, read the abstract & about the speaker, visit: https://lnkd.in/gcPPPi_v From the abstract: Using DesignSafe as an example, we will present a brief overview of some of these challenges, discuss lessons learned at the technical infrastructure level and implications for policy, and briefly address the evolving landscape for national-scale data cyberinfrastructure in the age of AI and ML integration into research. #datamanagement #cyberinfrastructure

Watch the video from the Nordic AI Infrastructure Forum that took place in Stockholm on November 13th, gathering over 180 industry professionals, researchers, and policymakers at Piperska Muren. This event, organized by all Nordic data center associations, Danish Data Center Industry , FDCA - Finnish Data Center Association, Data Centers by Iceland , Norwegian Data Center Industry and Swedish Data Center Industry, focused on the vital role that artificial intelligence plays in shaping modern society and its implications for digital infrastructure.

We're thrilled to share some exciting insights on maximizing data storage performance! In our latest blog post, we explore how Lustre, combined with asynchronous I/O, can achieve network interface speeds of 400 Gbps and beyond, using just two clients. Discover how selecting the right backend, such as xiRAID Opus, can enhance efficiency by utilizing fewer resources. By leveraging Lustre and asynchronous I/O, we're meeting the high demands of AI and HPC workflows, ensuring unparalleled performance, scalability, and efficiency. Don't miss this deep dive into optimizing your data storage solutions! Read the full blog here: https://lnkd.in/exi8DNRE

I'll be on the STAC panel entitled 'Doing GenAI at scale this year' on Thursday 2nd May on London. Please join us there for a great set of presentations and panels. "Most financial firms experimented with LLMs in 2023. Some have solutions in production, and those who don't are mostly planning to in 2024. Once an initial solution is in production, AI architects will face the consequence of their success: demand for more users and use cases. But scaling generative AI is more complicated than usual. With more use cases come broader model governance challenges. Our panel of experts will dig into these questions and yours." https://lnkd.in/eBd8xACm

AI and HPC are pushing boundaries, leading to significant changes in power requirements and solutions. Spiky loads are here to stay, and many data center operators aren't prepared. Watch this video and download the white paper to reveal what customers and experts are saying: http://ms.spr.ly/6040WOVqy

Inspired by high-dimensional data and the ideals of open science, high-energy physicists are using artificial intelligence to reimagine the statistical technique of ‘unfolding’ https://lnkd.in/e9Y_AaMT

Observability in LLMOps is crucial for infrastructure at different scales. Training foundation models and managing distributed agentic networks require fine-grained observability to optimize and control systems. Each stage of the LLMOps value chain has varying observability needs, with pretraining being the most expensive. The talk at the AI Engineer World’s Fair 2024 delved into these observability challenges.

🔬 Unlock the power of AI with LabTwin! Discover how AI-powered data structuring and experiment design revolutionize lab workflows in this enlightening session with Jeroen de Haas.https://hubs.la/Q02zT7Vz0

𝐆𝐞𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 - Paper from Google where the authors (Julia Wiesinger, Patrick Marlow, Vladimir Vuskovic) explore the basics of Generative AI agents and their architectures, and how to go beyond models to building agents that can interact with the real world. Link to the Paper - https://lnkd.in/gJw2Rgx7

𝐆𝐞𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 - Paper from Google where the authors (Julia Wiesinger, Patrick Marlow, Vladimir Vuskovic) explore the basics of Generative AI agents and their architectures, and how to go beyond models to building agents that can interact with the real world. Link to the Paper - https://lnkd.in/gJw2Rgx7