AI Data Infrastructure

  • Pure Storage //Accelerate 2025: Key Announcements

    Pure Storage //Accelerate 2025 is in full swing in Las Vegas. The now traditional yearly event is an opportunity for the company to air its major announcements, accomplishments, and give hints on their roadmap. Overall Messaging Pure Storage focused its messaging around the burden of legacy storage as a roadblock to implement a clear data…

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    Solidigm: Building AI Storage Foundations

    At AI Infrastructure Field Day 2, Solidigm provided comprehensive insights about its enterprise Solid State Drive (SSD) product line, research & development efforts, and how this fits into a cohesive strategy that aims to enable resilient and performant storage for AI workloads operating at scale. Who is Solidigm? Although the name might sound unfamiliar, the…

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  • Scality Announces Ring XP, Veeam Data Platform integration with Artesca

    Scality is heading into Q2 2025 with solid momentum. The company is coming off five straight record quarters, and adoption is growing steadily across enterprise, service provider, and public sector verticals. AI-driven use cases and cyber resiliency are key market drivers, and Scality is surfing on this wave: on one side, the new RING XP…

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    Simplifying Enterprise GenAI: Nutanix Enterprise AI at AIIFD2

    At AI Infrastructure Field Day 2 (AIIFD2), Nutanix presented Nutanix Enterprise AI (NAI) platform, a solution designed to make enterprise-grade GenAI deployments simpler, more secure, and operationally viable. The intent is laudable, but does it deliver? And what issues are organizations facing when it comes to deploying GenAI solutions? The Challenge: AI at Enterprise Scale…

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    VDURA Accelerates AI Storage with Early Launch of V5000 All-Flash NVMe System

    VDURA (previously known as Panasas) announced its V5000 All-Flash Appliance, an all-flash NVMe system designed to meet the surging demand for high-performance AI storage. Originally planned for 2026, this release has been fast-tracked to respond to the market’s interest in Generative AI (GenAI) and other data-intensive workloads. Built on the VDURA V11 data platform, the…

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    Building Efficient Data-Centric Storage Architectures in the AI Era

    In the age of AI, efficient data-centric storage architectures have become crucial to any organization’s data strategy. The rise of large-scale AI workloads demands storage that can keep up – not just in terms of raw capacity but also with performance and flexibility. Without the right storage infrastructure, the data fueling AI initiatives can become…

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  • Scaling to Meet Exabyte-Level Demands in the AI Era with object storage

    The unstoppable growth of AI data and the challenge for infrastructure Over the last couple of years, Artificial Intelligence (AI) has moved from an emergent technology to a transformative force. With the adoption of AI increasing, the infrastructure supporting it needs to adopt as well. Organizations adopting AI find themselves at the brink of yet…

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  • Tackling AI Data Infrastructure Energy Challenges with Solidigm

    This research note covers Enterprise, on-premises AI deployments. The availability of cloud resources, ARM alternatives, TPUs and other cloud-based solutions is acknowledged but out of scope. One of the key takeaways of AI Data Infrastructure Field Day 1 (AIDIFD1) was undoubtedly the topic of energy efficiency in AI. Solidigm provided valuable insights on the topic,…

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  • HPE Private Cloud AI: Accelerating Time-To-Value With AI Initiatives

    A few weeks ago, we attended AI Data Infrastructure Field Day 1, an online event where vendors showcased their latest innovations in the AI storage data infrastructure space. A presentation that particularly caught my attention was from HPE, with the company introducing their Private Cloud AI solution. Truth be said, both Arjan Timmerman (the other…

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