AI
articles
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.
Unpacking The AI Data Factory – A Storage Perspective
From VAST Data to Weka, Graid to Solidigm — storage disruptors shined bright at NVIDIA GTC 2025. Here’s how storage innovators are redefining AI infrastructure and why it matters to the future of AI.
Deloitte and VAST on the Next Stage of Enterprise AI
Deloitte and VAST Data share how secure data pipelines and system-level integration are supporting the shift to scalable, agentic AI across enterprise environments.
Building a Full-Stack AI Cloud with Nebius and VAST
This video explores how Nebius and VAST Data are partnering to power enterprise AI with full-stack cloud infrastructure—spanning compute, storage, and data services for training and inference at scale.
With Augmented Memory Grid, Weka Challenges Old Guard Thinking
Weka’s new memory grid raises new questions about AI data architecture—exploring how shifts in interface speeds and memory tiers may reshape performance, scale, and deployment strategies.
Solidigm, Dell Discuss AI Data Challenges at GTC
During GTC, Solidigm’s Scott Shadley and Dell’s Rob Hunsaker, director of engineering technologists, discussed how Dell is tackling the challenges of AI data infrastructure with cutting-edge solutions.
Ampere Receives A $6.5 Billion Exit
Ampere joins SoftBank in a $6.5B deal, fueling speculation about AI’s next wave. Is this a talent acquisition, a play for Arm’s AI future, or a move to challenge NVIDIA’s dominance?
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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.
