AI
articles
WEKA Unveils NeuralMesh for Microsecond AI Response
Purpose-built for agentic AI, WEKA’s NeuralMesh delivers microsecond data access, self-healing resilience, and exabyte-scale performance for the next generation of real-time AI workloads.
Hypertec and Solidigm Dive Into Liquid-Cooled AI Compute
From GTC to Data Center World, Hypertec and Solidigm are showcasing immersion-born infrastructure that’s purpose-built for high-density, sustainable AI and HPC workloads.
AMD Challenges Goliath with MI355, Doubles Down on Open Innovation
At Advancing AI, AMD unveils MI355 with 35× gen-over-gen gains and doubles down on open innovation – from ROCm 7 to Helios infrastructure – to challenge NVIDIA’s AI leadership.
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.
Inside KubeCon 2025: How AI Is Rewriting Kubernetes Operations
At KubeCon + CloudNativeCon in Atlanta, Devtron, Komodor, and Dynatrace showed how AI is reshaping Kubernetes ops—from self-healing fleets + spot-friendly migration to AI observability + business ROI.
Cloud-Native 2025 by the Numbers: The Developer Tent Just Got Bigger
CNCF + SlashData’s latest report counts 15.6M cloud-native developers as IDPs pull backend teams into the fold; hybrid + multi-cloud rise with AI demand while inference stacks + agentic frameworks coalesce.
MLPerf Training v5.1: GenAI Drives, Scale Ramps, Field Widens
Two new genAI tests (Llama 3.1 8B, Flux.1) align with production stacks as multi-node results climb. NVIDIA posts many fastest times; University of Florida, Wiwynn, and Datacrunch expand the ecosystem.
Wanjiku Kamau on Her Book: Out of the Loop, Into the Algorithm
Allyson Klein talks with author and Google/Intel alum Wanjiku Kamau on moving past AI skepticism, learning fast, and using new tools with intention—so readers start where they are and explore AI with hope.
Cooling the Future: Where Does Cold Plate End and Immersion Begin?
AI racks are blowing past air’s limits. Here’s a frank framework for when cold plate still wins, when it fails, and how to plan the pivot to immersion—without stranding today’s investments.
How Financial Services Can Responsibly Scale AI
FinTech expert Anusha Nerella shares insights on staying ahead of fraud, navigating regulation, and building collaborative teams to scale responsible AI across the financial services sector.
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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.
