AI
articles
Mid-Year Report: AI Spending Soars as Data Centers Face Heat
Matty Bakkeren checks in on how data center trends are playing out in 2025, from nations pouring billions into AI supremacy projects to how data centers are trying to offset massive energy needs.
Agentic AI in Engineering: From Vision to Workforce Transformation
At the crossroads of Synopsys and Microsoft innovation , agentic AI is no longer a future vision – it’s a catalyst for technical acceleration and a redefinition of engineering roles.
Ansys + Rohde & Schwarz: Hardware Meets Virtual Cities
Through digital twin modeling and hardware testing, this Ansys and Rohde & Schwarz collaboration empowers developers to optimize RF systems in lab environments with real-world fidelity.
Stanford’s Daniel Wu on Trust, Agents & the Future of AI
From agentic and embodied AI to trust and human capacity, Stanford’s Daniel Wu shares how infrastructure and intentionality will shape the next era of AI transformation.
From GPU to Model: Together AI Powers the AI Pipeline
From open-source models to enterprise partnerships, Together AI drives multidimensional growth — accelerating adoption, engagement, and impact across the entire AI development lifecycle.
Mid-Year Report: Semiconductor Shakeout Reshapes Auto Tech
Robert Bielby assesses his 2025 predictions for the automotive industry and examines Intel’s exit, China’s BYD beating Tesla, German market woes, and 8K display adoption.
Google’s AlphaGenome Shines a Light on DNA ‘Dark Matter’
Google DeepMind's AlphaGenome uses AI to decode the mysteries of non-coding DNA — a leap that could transform how we understand disease, evolution, and what it means to be human.
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.
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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.
