Storage architecture becomes the invisible force determining whether AI deployments, now rapidly moving beyond pilot projects, generate profit or burn cash on throttled tokens.
While enterprises pour resources into more GPUs, up to 30% of that computing power sits idle waiting for data. The solution isn't more hardware; it's smarter network architecture.
Converging forces, including affordable SSDs, ransomware requiring fast restoration capabilities, and AI workloads needing assured data integrity, are redefining protection strategies at unprecedented scale.
From analytics to AI leadership, TechArena Voice of Innovation Banani Mohapatra (Walmart) shares how experimentation, ethics, and human creativity shape the next era of data-driven innovation.
CXL 2.0 unlocks pooled, tiered, and elastic memory so enterprises add capacity without blowing budgets—feeding AI and data-heavy apps with near-DRAM performance on Xeon 6 platforms.
The AI surge is forcing a fundamental rethink of infrastructure strategy, from unexpected co-location demand to storage breakthroughs that challenge conventional wisdom.
The EU’s massive investment in AI gigafactories positions Europe as a global AI contender, amid rising competition from China's DeepSeek and the U.S.'s Stargate projects.
DeepSeek claims its open-source AI model rivals top LLMs at a fraction of the cost—but is the hype justified? Here’s what you need to know about its tech, impact, and potential risks.
During day two of the Oregon AI conference, attendees focused on the ethical implications of AI and how small-to-medium-sized businesses (SMBs) can integrate AI into their operations.
The first day of the inaugural Oregon AI Conference showcased how quickly AI can unite small-to-medium-sized businesses, spotlighted DeepSeek’s evolution, and championed responsible innovation.
Our own Allyson Klein moderates a powerhouse panel on AI ethics, with panelists representing Loyola University Chicago, Google, MLCommons, VAST Data and Momethesis.
In this video from Chiplet Summit, Shekhar Kapoor discusses how Synopsys’ transition to a multi-die approach to chiplet development has allowed them to innovate beyond the limitations of traditional monolithic chips.
Join us on Data Insights as Mark Klarzynski from PEAK:AIO explores how high-performance AI storage is driving innovation in conservation, healthcare, and edge computing for a sustainable future.
Untether AI's Bob Beachler explores the future of AI inference, from energy-efficient silicon to edge computing challenges, MLPerf benchmarks, and the evolving enterprise AI landscape.
Explore how OCP’s Composable Memory Systems group tackles AI-driven challenges in memory bandwidth, latency, and scalability to optimize performance across modern data centers.
In this podcast, MLCommons President Peter Mattson discusses their just-released AILuminate benchmark, AI safety, and how global collaboration is driving trust and innovation in AI deployment.
In this episode, Eric Kavanagh anticipates AI's evolving role in enterprise for 2025. He explores practical applications, the challenges of generative AI, future advancements in co-pilots and agents, and more.
Peter Dueben of European Centre for Medium-Range Weather Forecasts explores the role of HPC and AI in advancing weather modeling, tackling climate challenges, and scaling predictions to the kilometer level.
From racing oils to data center immersion cooling, Valvoline is reimagining thermal management for AI-scale workloads. Learn how they’re driving density, efficiency, and sustainability forward.
This Data Insights episode unpacks how Xinnor’s software-defined RAID for NVMe and Solidigm’s QLC SSDs tackle AI infrastructure challenges—reducing rebuild times, improving reliability, and maximizing GPU efficiency.
In this episode, Allyson Klein, Scott Shadley, and Jeneice Wnorowski (Solidigm) talk with Val Bercovici (WEKA) about aligning hardware and software, scaling AI productivity, and building next-gen data centers.
From AI Infra Summit, Celestica’s Matt Roman unpacks the shift to hybrid and on-prem AI, why sovereignty/security matter, and how silicon, power, cooling, and racks come together to deliver scalable AI infrastructure.
Allyson Klein talks with Synopsys’ Anand Thiruvengadam on how agentic AI is reshaping chip design to meet extreme performance, time-to-market, and workforce challenges.
From storage to automotive, MLPerf is evolving with industry needs. Hear David Kanter explain how community-driven benchmarking is enabling reliable and scalable AI deployment.