AI
articles
Intel's AI Marketing Move: Sign of the Times or CEO Sideshow?
Intel's decision to outsource marketing to Accenture and generative AI sparks debate: is this a visionary leap into the future of work or a symptom of a deeper retreat from innovation leadership?
Who’s Who in the AI Zoo?
Feeling overwhelmed by AI? You’re not alone. This new series cuts through the hype to explore practical tools, evolving trends, and smart strategies to help you navigate the AI ecosystem.
WEKA Unveils NeuralMesh for Microsecond AI Response
Purpose-built for agentic AI, WEKA’s NeuralMesh delivers microsecond data access, self-healing resilience, and exabyte-scale performance for the next generation of real-time AI workloads.
Hypertec and Solidigm Dive Into Liquid-Cooled AI Compute
From GTC to Data Center World, Hypertec and Solidigm are showcasing immersion-born infrastructure that’s purpose-built for high-density, sustainable AI and HPC workloads.
AMD Challenges Goliath with MI355, Doubles Down on Open Innovation
At Advancing AI, AMD unveils MI355 with 35× gen-over-gen gains and doubles down on open innovation – from ROCm 7 to Helios infrastructure – to challenge NVIDIA’s AI leadership.
Qualcomm to Acquire Alphawave Semi for $2.4B in Data Center Push
The deal marks a strategic move to bolster Qualcomm’s AI and custom silicon capabilities amid challenging competition and the potential start of a wave of AI silicon acquisitions.
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.
From Operators to Innovators: Inside Midas Immersion Cooling
With AI racks exceeding 100kW, immersion cooling isn’t optional anymore. Midas’s operator-driven design delivers hot-swappable maintenance and thermal recovery economics.
AI, the Silent Partner Mitigating Clinician Burnout
Healthcare teams are drowning in admin work and decision fatigue. This piece explores how AI can quietly automate workflows, ease cognitive load, and give clinicians time back for patient care.
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Podcasts
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Nebius at SC25: Building the Neocloud for Enterprise AI
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
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.
Walmart and Cornelis Expose the Costs of Network Inefficiency
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Giga Computing on Rack-Scale AI: From Training to Inference
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Data Insights at OCP: DataraAI on Edge Robotics
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Nebius at SC25: Building the Neocloud for Enterprise AI
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
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.
Walmart and Cornelis Expose the Costs of Network Inefficiency
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Giga Computing on Rack-Scale AI: From Training to Inference
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Data Insights at OCP: DataraAI on Edge Robotics
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
