In this Hammerspace coverage from AI Infrastructure Field Day 4, Marian Newsome explores the challenges businesses face when regulatory bodies have conflicting requirements for data management. She examines how these discrepancies can burden data infrastructures, necessitating robust systems that can adapt to diverse and evolving legal landscapes. For more insights from Marian Newsome, follow her continuing coverage on LinkedIn Pulse.
When Storage Stops Being a Location
Shala Denise explores the evolving concept of storage from Hammerspace, emphasizing its shift from a static location to a dynamic, integral component of IT infrastructure. She discusses how advancements in cloud technology and data accessibility are redefining traditional storage paradigms, making storage an active player in data manipulation and analysis. Find more coverage of Cloud Field Day 25, follow the delegates on LinkedIn!
Preparing for CloudFieldDay 25
Lino Telera is gearing up for CloudFieldDay 25, where the latest advancements and insights in cloud technology will be showcased. This significant event gathers industry leaders and experts to discuss critical developments and future trends in the cloud sector. For more comprehensive coverage of the event, stay tuned to updates about Hammerspace, VMware by Broadcom, and more!
From Hype to Hardware: AI Infrastructure, Governance, and What’s Old Is New Again
In this episode of The Tech Aunties Podcast, Gina Rosenthal and Marian Newsome discuss AI Infrastructure Field Day 4, highlighting a pragmatic shift toward production‑ready AI infrastructure, with Forward Networks presenting a practical digital twin approach for operations and security, Hammerspace showcasing a global data environment that unifies data across on prem, cloud, and edge with metadata‑driven orchestration, Solidigm emphasizing storage innovation and open source/standards involvement to ease AI deployments, Xsight Labs introducing shipping programmable data‑path hardware, and more. Watch the whole episode to learn about all these Field Day presenters!
One Rack, One Exabyte, Zero Excuses: How Open Storage Is Rewriting AI Infrastructure
Jack Poller explores the revolutionary impact of Hammerspace on AI infrastructure, highlighting the potential for a single rack to manage up to one exabyte of data. This approach not only simplifies the physical footprint of data storage but also enhances the scalability and efficiency crucial for AI-driven enterprises. For more insights into AI Infrastructure Field Day 4, see the full coverage on our website.
Cloud Strategy, The Future of Infrastructure, and Of Course AI at Cloud Field Day 25
Cloud Field Day 25 kicks off March 11–12 with two days of in-depth technical discussions, live demos, and expert insights from some of the most innovative companies in the industry. On Wednesday at 9:00 AM PT, Hammerspace kicks things off by exploring real-world use cases for global namespaces and policy-based data management—especially for AI workloads. […]
Breaking the Data Gravity Curse in the AI Factory
In the latest discussion on breaking the data gravity curse in AI environments, Alastair Cooke highlights the challenges and solutions associated with managing large data sets that inhibit the mobility of applications across different platforms in an AI-driven ecosystem. Cooke explores how organizations are innovating to overcome these obstacles, enhancing efficiency and agility in their AI operations. For comprehensive insights on AI Infrastructure Field Day 4, visit Techstrong AI.
Quick Reaction: AIIFD4
Peter J. Welcher recently shared insights on the innovations and discussions from AI Infrastructure Field Day 4, highlighting key technology advancements and their implications for the industry. He emphasizes the practical application and impact of AI tools and infrastructure, providing a concise analysis to benefit professionals navigating these technologies. For more comprehensive coverage of AI Infrastructure Field Day 4, follow Peter J. Welcher’s updates on LinkedIn Pulse.
Cutting-Edge AI Networking and Storage Kick Off 2026 at AI Infrastructure Field Day 4
We’re kicking off 2026 with one of our most popular events, AI Infrastructure Field Day 4, running from January 28th through January 30th. The event will stream live on LinkedIn, Techstrong TV, the Tech Field Day website, and for the first time ever, on our YouTube channel, offering a front-row view of the latest in […]
Modern Data Mobility is Challenging the Laws of Physics with Hammerspace
Modern data mobility is challenging the laws of physics; the speed of light is a fundamental limit for moving signals. This episode of the Tech Field Day podcast features Kurt Kuckein from Hammerspace discussing data movement and management with Jim Jones, Jack Poller, Andy Banta, and Alastair Cooke. The challenge is that the distributed nature of data, spread across the globe, creates significant obstacles for AI, particularly regarding the speed of light and power consumption. We delve into overcoming these limitations through technologies that facilitate data access and movement, touching on concepts such as efficient storage solutions (Open Flash Platform), the importance of centralized data management, and the agility required for evolving AI workloads. While the underlying principles of data management are not new, the scale and complexity of AI necessitate innovative approaches to ensure data can be accessed and utilized effectively, regardless of its physical location.
Hammerspace Embraces Standards at AIIFD3
Mark Houtz discusses how Hammerspace is adopting standards at the AI Infrastructure Field Day event, emphasizing the company’s commitment to integration and industry conformity. He explores the significance of these standards in enhancing operational efficiency and ensuring compatibility across diverse systems. For more extensive coverage on this topic, visit the contributions by the delegates on their blogs and at LinkedIn!
Why Your GPUs Are Waiting: The Data Speed Problem in AI Workloads
In this insightful article by Jack Poller, the focus is on the frequently overlooked issue of data speed bottlenecks that significantly hinder GPU performance in AI tasks. Poller explains how the inadequate pace of data delivery to GPUs can lead to underutilization, slowing down the process despite the rapid computational abilities of GPUs. Explore further coverage of Hammerspace at AI Infrastructure Field Day on LinkedIn!
AI-Ready Storage Explained: Hammerspace’s Unified Data Solution
Hammerspace offers a unified data solution for AI workloads, aggregating storage infrastructure into a single namespace for high-speed data access and improved GPU utilization. They are also leading the Open Flash Platform initiative for efficient exabyte-scale data storage. Read more coverage of AI Infrastructure Field Day on Techstrong AI!
Hammerspace and the Open Flash Platform at #AIIFD3
In this article, Ray Lucchesi discussed Hammerspace’s collaboration with the Open Flash Platform, highlighting its role at the AIIFD3 event. The focus was on how this partnership might leverage AI to enhance data management and storage solutions. For more in-depth coverage of AI Infrastructure Field Day, visit Ray Lucchesi’s blog on Silverton Consulting.
Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3
Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies. The event […]
Hammerspace Global Data Environment – a Shared Space for All the Data
Hammerspace’s presentation at AI Field Day showcased its Global Data Environment, which streamlines data orchestration for AI model training by providing global real-time visibility and access to distributed datasets. The company’s innovative approach decouples file system metadata from the underlying storage, enabling a universal access layer across geographies and cloud platforms. By facilitating a shared metadata control plane, Hammerspace ensures seamless user experience and efficient data management for complex enterprise AI workflows. Read more in this Gestalt IT article by Sulagna Saha.
Hammerspace Shows Storage Acceleration for AI Training
At AI Field Day, Hammerspace showcased its innovative storage acceleration solution, demonstrating how Hyperscale NAS can be leveraged to enhance the performance of current scale-out NAS systems, particularly in training large language models (LLM) efficiently. This storage boost not only improves speed but also optimizes resource allocation during the intensive LLM training process. Hammerspace’s advancement offers organizations the opportunity to amplify their AI training capabilities without the need to overhaul their existing storage infrastructure. Read more in this Futurum Research Analyst Note by Alastair Cooke.
Defeating Data Gravity? – Hammerspace
According to Keith Townsend, Hammerspace presented a compelling argument for a shift in overcoming data gravity by moving data closer to accelerated computing resources at AI Field Day. Their solution, a parallel file system, acts as a bridge between dispersed data sources, offering a unified metadata view that streamlines data preparation for AI tasks. While Hammerspace’s technology appears to enhance user experience, it also requires strategic GPU placement and considerations around data governance and movement across geopolitical boundaries.
Insights From the AI Field Day: A Futurum Group Overview
In this LinkedIn Pulse article, Paul Nashawaty of The Futurum Group summarizes all of the AI Field Day presentations, highlighting VMware’s deep dive into Private AI in collaboration with industry giants like NVIDIA and IBM, and Intel’s focus on deploying AI inference models with Xeon CPUs across diverse environments. Next-generation AI-infused storage solutions from Solidigm and SuperMicro underscored the critical role of optimized storage in AI, while Vast Data focused on addressing the growing data demands of AI and HPC workloads. Google Cloud’s session on AI platforms and infrastructures showcased innovative approaches with Kubernetes at the core, paving the way for accessible and powerful AI development and deployment.
The Year of AI at AI Field Day 4
AI Field Day returns on February 21st-23rd, giving a broad perspective on AI’s foundational technologies in a year touted to be pivotal for artificial intelligence. Attendees can expect in-depth sessions with industry giant Intel as well as key players VMware by Broadcom, Qlik, Hammerspace, Solidigm, VAST Data, and many more. This event explores revolutionary AI applications and their infrastructure demands, and will be broadcast live for a global audience. Watch live on LinkedIn and the Tech Field Day website and catch the recordings on YouTube!