https://insideainews.com/tag/ddn/ Illuminating AI's Frontiers: Your Go-To News Destination. Tue, 19 Mar 2024 18:09:27 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/ddn/ 32 32 136462205 https://insideainews.com/2024/03/20/ddn-ai400x2-turbo-appliance-accelerates-gen-ai-and-inference-for-data-center-and-cloud-by-10x/ https://insideainews.com/2024/03/20/ddn-ai400x2-turbo-appliance-accelerates-gen-ai-and-inference-for-data-center-and-cloud-by-10x/#respond Wed, 20 Mar 2024 13:00:00 +0000 https://insidebigdata.com/?p=35005 DDN®, a global leader in artificial intelligence (AI) and multi-cloud data management solutions, announced the latest addition to its powerful A3I® solutions, the DDN AI400X2 Turbo. 30% more powerful than the AI400X2, the previous industry performance leader, the AI400X2 Turbo boasts faster performance and expanded connectivity options.]]> https://insideainews.com/2024/03/20/ddn-ai400x2-turbo-appliance-accelerates-gen-ai-and-inference-for-data-center-and-cloud-by-10x/feed/ 0 35005 https://insideainews.com/2022/09/26/ddn-simplifies-enterprise-digital-transformation-with-new-nvidia-dgx-basepod-and-dgx-superpod-reference-architectures/ https://insideainews.com/2022/09/26/ddn-simplifies-enterprise-digital-transformation-with-new-nvidia-dgx-basepod-and-dgx-superpod-reference-architectures/#respond Tue, 27 Sep 2022 00:09:10 +0000 https://insidebigdata.com/?p=30474 DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced its next generation of reference architectures for NVIDIA DGX™ BasePOD and NVIDIA DGX SuperPOD. These new AI-enabled data storage solutions enhance DDN’s position as the leader for enterprise digital transformation at scale, while simplifying by 10X the deployment and management of systems of all sizes, from proof of concept to production and expansion.]]> https://insideainews.com/2022/09/26/ddn-simplifies-enterprise-digital-transformation-with-new-nvidia-dgx-basepod-and-dgx-superpod-reference-architectures/feed/ 0 30474 https://insideainews.com/2019/10/01/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-3/ https://insideainews.com/2019/10/01/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-3/#respond Tue, 01 Oct 2019 15:30:58 +0000 https://insidebigdata.com/?p=23348 Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideAI News Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.]]> https://insideainews.com/2019/10/01/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-3/feed/ 0 23348 https://insideainews.com/2019/09/24/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-2/ https://insideainews.com/2019/09/24/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-2/#respond Tue, 24 Sep 2019 15:00:56 +0000 https://insidebigdata.com/?p=23321 Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideAI News Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.]]> https://insideainews.com/2019/09/24/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads-part-2/feed/ 0 23321 https://insideainews.com/2019/09/17/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/ https://insideainews.com/2019/09/17/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/#respond Tue, 17 Sep 2019 15:30:59 +0000 https://insidebigdata.com/?p=23274 Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideAI News Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.]]> https://insideainews.com/2019/09/17/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/feed/ 0 23274 https://insideainews.com/white-paper/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/ https://insideainews.com/white-paper/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/#respond Tue, 10 Sep 2019 17:56:38 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=23255 This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.]]> 0 23255 https://insideainews.com/2019/03/11/data-enabled-data-center-ai-workloads/ https://insideainews.com/2019/03/11/data-enabled-data-center-ai-workloads/#respond Mon, 11 Mar 2019 13:30:47 +0000 https://insidebigdata.com/?p=22233 Despite their many promising benefits, advancements in Artificial Intelligence (AI) and Deep Learning (DL) are creating some of the most challenging workloads in modern computing history and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled data center must be able to concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, training and inference. ]]> https://insideainews.com/2019/03/11/data-enabled-data-center-ai-workloads/feed/ 0 22233 https://insideainews.com/2018/03/12/data-platform-deep-learning-future/ https://insideainews.com/2018/03/12/data-platform-deep-learning-future/#respond Mon, 12 Mar 2018 13:30:36 +0000 https://insidebigdata.com/?p=20034 https://insideainews.com/2018/03/12/data-platform-deep-learning-future/feed/ 0 20034 https://insideainews.com/white-paper/parallel-storage/ https://insideainews.com/white-paper/parallel-storage/#respond Thu, 24 Aug 2017 15:05:21 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=18714 Using high performance parallel storage solutions, geologists and researchers can now incorporate larger data sets and execute more seismic and reservoir simulations faster than ever before, enabling higher fidelity geological analysis and significantly reduced exploration risk. To lean more download this white paper.]]> 0 18714 https://insideainews.com/white-paper/parallel-file-system/ https://insideainews.com/white-paper/parallel-file-system/#respond Thu, 24 Aug 2017 14:53:30 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=18712 A parallel file system offers several advantages over a single direct attached file system. By using fast, scalable, external disk systems with massively parallel access to data, researchers can perform analysis against much larger datasets than they can by batching large datasets through memory. To Learn More about the Parallel File Systems download this guide]]> 0 18712