AI
articles
Qualcomm to Acquire Alphawave Semi for $2.4B in Data Center Push
The deal marks a strategic move to bolster Qualcomm’s AI and custom silicon capabilities amid challenging competition and the potential start of a wave of AI silicon acquisitions.
WEKA and Nebius Unite to Supercharge AI Workloads with GPUaaS Powerhouse
A new partnership combines WEKA’s AI-native storage with Nebius’ GPUaaS platform to accelerate model training, inference, and innovation with microsecond latency and extreme scalability.
AMD Doubles Down on Inference Efficiency with New Acquisitions
As the battle for AI market share continues, AMD’s recent acquisitions signal a strategic move toward optimizing both software and hardware for inference workloads and real-world AI deployment.
OpsRamp Shows Unified IT Operations for Fast Incident Management
The HPE-owned platform combines unified observability, smart alert correlation, and automation to tackle hybrid IT complexity while also working with existing monitoring tools.
MinIO Redefines Object Storage Architecture for Exabyte Scale
AIStor’s stateless, gateway-free design solves legacy storage issues, enabling high-performance object-native infrastructure for exabyte-scale AI and analytics workloads.
TechArena Great Debate: Google Talks OCP LOCK and Open Standards
Amber Huffman and Jeff Andersen of Google join Allyson Klein to discuss the roadmap for OCP LOCK, post-quantum security, and how open ecosystems accelerate hardware trust and vendor adoption.
AI Didn’t Break Your Data Platform; It Exposed Your Data Debt
Enterprise AI doesn’t create fragility; it reveals undocumented assumptions, missing ownership, and invisible pipeline debt. Fix the foundations and AI gets cheaper, faster, and more trusted.
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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.
AI, Data Centers, and Bare Metal Cloud: Insights from PhoenixNAP
During our latest Data Insights podcast, sponsored by Solidigm, Ian McClarty of PhoenixNAP shares how AI is shaping data centers, discusses the rise of Bare Metal Cloud solutions, and more.
AI Connectivity & Chiplet Innovation at Alphawave Semi Unveiled
Letizia Giuliano of Alphawave Semi discusses advancements in AI connectivity, chiplet designs, and the path toward open standards at the AI Hardware Summit with host Allyson Klein.
Exploring Cerebras' AI Innovations: Inference, Llama, and Efficiency
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Optimizing AI Scale-Out: Cornelis Networks’ Vision with Lisa Spelman
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
AI on Your Desk with Uptime Industries’ Lemony
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Ayar Labs' Mark Wade on Optical I/O Boosting AI Performance
Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
