AI
articles
MemCon 2024: Memory Innovation Sits at the Heart of AI Delivery
TechArena gives a sneak peak to MemCon24 and why memory innovation is at the heart of igniting AI delivery.
MemryX Making a Case for AI Acceleration at the Edge
TechArena’s take on MemryX, a key player in the fast growing AI acceleration silicon arena.
Intel Modestly Lays its Case for AI
TechArena’s take on Intel’s AIFD4 presentation and the role of CPUs in AI
Google Cloud Talks AI Trends at AIFD4
TechArena’s take on Google Cloud’s presentation at AIFD4 and silicon evolution for the AI Era.
Things Get Interesting with Voltron Data’s Acquisition of Claypot AI
TechArena’s take on Voltron Data’s acquisition of Claypot AI.
Lemurian Labs: A Robin Hood for AI Access
TechArena’s take on Lemurian Labs’ pursuit of delivering broad access to AI through innovative silicon and numbers system advances.
Daniel Wu on Scaling AI with Trust and Strategy
Daniel Wu joins TechArena and Solidigm on Data Insights to share his perspective on bridging academia and enterprise, scaling AI responsibly, and why trustworthy frameworks matter as AI adoption accelerates.
Arm’s AI Infrastructure Advantage: Efficiency Meets Innovation
AWS now ships 50% Arm-based compute, and other major cloud providers are following, as efficiency in the gigawatt era and software optimization drive a shift in data center architecture.
Cerebras Soars with $1.1 B of Pre-IPO Investment
Backed by top U.S. investors, Cerebras gains $1.1B pre-IPO funding, boosting its AI vision, market traction, and challenge to NVIDIA with silicon-to-services expansion.
AI-Generated Code: Unlocking Speed – with Guardrails
TechArena Voice of Innovation Tannu Jiwnani explains how to blend GenAI-assisted coding with continuous threat modeling, automated validation, and expert review to accelerate work without compromise.
AI Infra Summit 2025: Agents, Utilization, and Innovation
From cloud to edge, agentic workflows are moving from pilots to production—reshaping compute, storage, and networks while spotlighting CPU control planes, GPU utilization, and congestion-free fabrics.
Inside Yotta’s Innovate Arena: Standout Breakthroughs for AI
From manure-to-energy RNG to an aluminum-air system that generates electricity on demand, innovators tackled real AI bottlenecks—power-chain integration, rapid fiber turn-ups, AI-driven permitting, and plug-and-play capacity that speeds time-to-value.
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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.
How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
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.
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.
How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
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.
