AI
articles
DeepSeek’s AI Breakthrough: Cheaper, Faster, but at What Cost?
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.
5 Top Takeaways from Day 2 of the Oregon AI Conference
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.
3 Day-One Trends from the Oregon AI Conference
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.
The Great Debate: Navigating AI Ethics
Our own Allyson Klein moderates a powerhouse panel on AI ethics, with panelists representing Loyola University Chicago, Google, MLCommons, VAST Data and Momethesis.
Synopsys’ Multi-Die Technology Enhances Chiplet Capabilities
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.
Hypertec Cloud - VAST Data Collaboration Accelerates AI Innovation
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.
“Mind the Gap” – The Man in the Middleware
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?
DeepSeek: AI Disruptor or Geo-Political Salvo?
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.
3 Key Takeaways from Chiplet Summit 2025
Global tech leaders reveal how chiplet-based architectures, advanced packaging, and industry collaboration are reshaping AI scaling, semiconductor design, and the future of computing.
Phishing: The Golden Ticket to Bypassing Security
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.
What’s in a Name – Why AI Terms Matter
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.
Transforming Data Centers to Meet the AI Imperative
In this Great Debate, three industry leaders delve into enterprise adoption of AI in 2025, and the compute infrastructure needed to support its scale-out.
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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.
