Canada fuels AI innovation with a new partnership between Hypertec Cloud and VAST Data, enhancing AI research with advanced compute capacity and efficient data pipelines.
Intel’s Lynn Comp looks past the hype to explore AI’s real business impact, questioning its future potential: will AI drive ROI, or is it merely middleware destined to be absorbed into the stack?
China’s new open-source generative AI, DeepSeek, claims efficiency breakthroughs that challenge U.S. AI dominance, raising questions about innovation, transparency, and geopolitical stakes.
Global tech leaders reveal how chiplet-based architectures, advanced packaging, and industry collaboration are reshaping AI scaling, semiconductor design, and the future of computing.
In Part 2 of his phishing series, Cyber Innovator Sean Grimaldi explores how phishing is growing in sophistication and why these scams remain effective in preying on individuals and organizations.
In her latest blog, Gina Rosenthal explores how AI is driving economics, politics, and computing, while demystifying key concepts to help navigate AI’s growing impact on society and technology.
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.
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.
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.