AI
articles
Marvell Inks $5.5B Celestial AI Deal to Break Memory Wall
Marvell is inking a deal for optical interconnect startup Celestial AI in a massive bet that the industry has shifted from being compute-constrained to bandwidth-constrained.
Using the Power of Micro Grids to Feed AI’s Insatiable Appetite
As AI training pushes data centers to unprecedented power densities, researchers reveal an affordable solution that lets computing thrive on fluctuating renewable energy.
8 Ways AI Will Rewrite Data Center Infrastructure in 2026
In Part 1 of Voice of Innovation Matty Bakkeren’s 2026 predictions series, he explores how AI, power, cooling, and supply chains are reshaping data center infrastructure for a utility-scale future.
The AI Divide in 2026: Economic Wildfire and an Information Elite
As up to 10 million jobs disappear and quality content moves behind paywalls, the question isn’t if AI will reshape society. It’s whether 2026 is the year we’ll control the burn or watch it spread.
Castrol Offers a Fluid Fix for AI’s Overheating Data Centers
New liquid cooling solutions have created a critical new system for data centers, and the company's “magic dust” additive packages are proving essential to keep AI running.
From Intel To Machani Robotics: Niv Sundaram On Human-First AI
Intel veteran and Machani Robotics CSO/CTO Niv Sundaram, one of TechArena’s newest voices of innovation, talks emotionally intelligent AI, companion humanoids, and why real innovation starts and ends with human wellbeing.
Dell’s Project Lightning: A Game-Changer for AI-Optimized Storage
Dell’s parallel file system promises unmatched speed and efficiency, offering a significant leap forward in storage technology that addresses the extreme performance needs of AI workloads.
Insights with Intel on Navigating Agentic AI Transformation
Agentic AI is set to disrupt how enterprises manage their workflows, data and IT infrastructure. Lynn Comp, Head of Intel’s AI Center of Excellence, outlines how to prepare for the transformation.
M2M and Solidigm Lead Industry Trends in AI and Cloud Computing
Solidigm and M2M Direct discuss the latest AI-driven trends in cloud computing and how the importance of flexibility, scalability and security in modern cloud environments is reshaping the industry.
Oracle Unlocks Telecom’s Future With AI-Driven Network Automation
Oracle is working with telecom operators to demonstrate the transformative potential of AI-driven network automation, paving the way for faster, more reliable digital connectivity in the 5G era.
Solidigm & Supermicro Bring AI Storage to New Heights
From 122TB QLC SSDs to rack-scale liquid cooling, Solidigm and Supermicro are redefining high-density, power-efficient AI infrastructure—scaling storage to 3PB in just 2U of rack space.
Supermicro and Solidigm: Revolutionizing Storage for AI Workloads
At NVIDIA’s GTC, Supermicro and Solidigm showcased advanced storage and cooling technologies, addressing the growing demands of AI and data center infrastructure.
.svg)
Podcasts
Exploring Cerebras' AI Innovations: Inference, Llama, and Efficiency
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Optimizing AI Scale-Out: Cornelis Networks’ Vision with Lisa Spelman
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
AI on Your Desk with Uptime Industries’ Lemony
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Ayar Labs' Mark Wade on Optical I/O Boosting AI Performance
Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
AI Innovation, Energy Efficiency & Future Trends with Neeraj Kumar
Neeraj Kumar, Chief Data Scientist at PNNL, discusses AI's role in scientific discovery, energy-efficient computing, and collaboration with Micron to advance memory systems for AI and high-performance computing.
Exploring AI Innovation with Hitachi Ventures' Gayathri Radhakrishnan
Guest Gayathri “G” Radhakrishnan, Partner at Hitachi Ventures, joins host Allyson Klein on the eve of the AIHW and Edge Summit to discuss innovation in the AI space, future adoption of AI, and more.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
