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.
Cooling for the Gigawatt Era: JetCool’s Roadmap for AI Data Centers
As part of Flex, JetCool is scaling its microconvective cooling technology to help hyperscalers deploy next-gen systems faster, streamlining cooling deployments from server to rack in the AI era.
GTC DC: NVIDIA’s Big Bets on AI Factories, DOE, and 6G
At GTC DC, NVIDIA outlined DOE-scale AI systems, debuted NVQLink to couple GPUs and quantum, partnered with Nokia on AI-RAN to 6G, mapped Uber robotaxis for 2027, and highlighted Synopsys’ GPU gains.
WEKA: Make Tokens Flow with Memory-Like Storage
Storage architecture becomes the invisible force determining whether AI deployments, now rapidly moving beyond pilot projects, generate profit or burn cash on throttled tokens.
The Network Revolution: Cornelis Tackles AI’s Efficiency Crisis
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.
CelLink at OCP: 3 Key Takeaways for AI Factories
Design shifted to rack-scale. Power and cooling span the full path. Liquid is table stakes. Three takeaways from OCP 2025—and why CelLink’s PowerPlane fits an AI-factory mindset.
Scality and Solidigm Reshape Storage Protection in the AI Era
Converging forces, including affordable SSDs, ransomware requiring fast restoration capabilities, and AI workloads needing assured data integrity, are redefining protection strategies at unprecedented scale.
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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.
