AI
articles
Storage Is the Catalyst Revolutionizing Enterprise AI
Learn how Solidigm SSDs are delivering 10x-20x performance gains and 40% cost savings for enterprise AI during Supermicro’s Open Storage Summit this August.
GPT-5 Lands With Market-Leading Performance, a Nod to Openness
OpenAI’s GPT-5 outperforms rivals in coding, context retention, and accuracy—setting a new bar for enterprise AI while signaling a subtle shift toward openness.
Mid-Year Report: AI’s Biggest 2025 Surprises Revealed
Market share shakeups, pricing shocks, and a tectonic shift in the open internet: Intel’s Lynn Comp unpacks developments in AI trends in 2025 that no one could have predicted.
MLPerf Storage v2.0 Eclipses Records in AI Benchmarking
Global surge in submissions reveals the pivotal role of storage in scaling AI training, with new checkpoint tests tackling failure resilience in massive accelerator clusters.
MLCommons Raises the Bar for AI PCs with MLPerf Client v1.0
MLCommons launches industry-standard benchmarks for LLM performance on PCs, cutting through marketing hype and giving developers and enterprises the transparent metrics they need.
AI’s New Canvas: The Visual Creators in the Zoo
From Midjourney to Firefly, Part 2 of our ‘AI Zoo’ series breaks down how today’s top image models work—and how TechArena uses them to create powerful, responsible visuals.
Rewriting the Data Center Playbook for AI with Solidigm
With explosive data growth and power demands forcing transformation, the future belongs to those who plan for what’s “next-next.”
Anusha Nerella: Innovation Is Responsibility in Motion
Voice of Innovation Anusha Nerella shares how fintech, AI, and responsible automation are reshaping the future and why true innovation is less about disruption and more about trust.
AMD Lands OpenAI Deal, Challenging NVIDIA’s AI Dominance
A landmark multi-year deal positions AMD as a core compute partner for OpenAI’s expanding AI infrastructure—diversifying its silicon base and reshaping GPU market dynamics.
Rafay Systems: Building the Foundations of AI Infrastructure
Rafay Systems is emerging as a key enabler of global AI infrastructure, helping enterprises and neoclouds operationalize large-scale deployments in the dawn of the AI era.
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.
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Podcasts
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
