In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
Robots aren’t going to fold your laundry by February. But Voice of Innovation Niv Sundaram predicts that an urgent caregiver shortage will move humanoids “from warehouses to living rooms” in 2026.
From circularity to U.S. assembly, Giga Computing lays out a rack-scale roadmap tuned for the next phase of AI—where inference drives scale and regional supply chains become a competitive edge.
In Part 2 of Matty Bakkeren’s 2026 predictions series, he explores how regulation, sovereignty, and public trust will push data centers to behave more like utilities than tech projects.
Robots aren’t going to fold your laundry by February. But Voice of Innovation Niv Sundaram predicts that an urgent caregiver shortage will move humanoids “from warehouses to living rooms” in 2026.
From circularity to U.S. assembly, Giga Computing lays out a rack-scale roadmap tuned for the next phase of AI—where inference drives scale and regional supply chains become a competitive edge.
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Marvell is inking a deal for optical interconnect startup Celestial AI in a massive bet that the industry has shifted from being compute-constrained to bandwidth-constrained.
As AI training pushes data centers to unprecedented power densities, researchers reveal an affordable solution that lets computing thrive on fluctuating renewable energy.
In Part 1 of Voice of Innovation Matty Bakkeren’s 2026 predictions series, he explores how AI, power, cooling, and supply chains are reshaping data center infrastructure for a utility-scale future.
As up to 10 million jobs disappear and quality content moves behind paywalls, the question isn’t if AI will reshape society. It’s whether 2026 is the year we’ll control the burn or watch it spread.
New liquid cooling solutions have created a critical new system for data centers, and the company's “magic dust” additive packages are proving essential to keep AI running.
Intel veteran and Machani Robotics CSO/CTO Niv Sundaram, one of TechArena’s newest voices of innovation, talks emotionally intelligent AI, companion humanoids, and why real innovation starts and ends with human wellbeing.
Marvell is inking a deal for optical interconnect startup Celestial AI in a massive bet that the industry has shifted from being compute-constrained to bandwidth-constrained.
As AI training pushes data centers to unprecedented power densities, researchers reveal an affordable solution that lets computing thrive on fluctuating renewable energy.
In Part 1 of Voice of Innovation Matty Bakkeren’s 2026 predictions series, he explores how AI, power, cooling, and supply chains are reshaping data center infrastructure for a utility-scale future.
As up to 10 million jobs disappear and quality content moves behind paywalls, the question isn’t if AI will reshape society. It’s whether 2026 is the year we’ll control the burn or watch it spread.
Arm’s OCP board seat and new FCSA spec push chiplet interoperability from idea to implementation—enabling mix-and-match silicon and smarter storage so teams can build AI without hyperscaler budgets.
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.
From WEKA’s memory grid and exabyte storage to 800G fabrics, liquid-cooled AI factories, edge clusters, and emerging quantum accelerators, SC25 proved HPC is now about end-to-end AI infrastructure.
Xeon 6 marries P-cores, E-cores, and scalable memory to feed data-hungry HPC workloads, eliminating bandwidth bottlenecks so spectral sims and other memory-bound codes can finally scale.
Modern software-defined cars blend multiple links—CAN/LIN, MIPI, SerDes, and Ethernet/TSN—to shrink wiring and cost, manage EMI, and deliver reliable, deterministic timing from sensors to actuators.
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.
Veteran technologist and TechArena Voice of Innovation Robert Bielby reflects on a career spanning hardware, product strategy, and marketing — and shares candid insights on innovation, AI, and the future of the automotive industry.
Bradbrook shares principles behind Antillion’s edge platforms—usability, fast iteration, real-world testing—and why the metric that matters most is durable value: tech that still works a decade later.
As AI inference, edge, and autonomous systems outpace legacy networks, this playbook shows how to combine fiber, RF, FSO, and satellite to tame digital asymmetry and build resilient AI connectivity.
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.
Through digital twin modeling and hardware testing, this Ansys and Rohde & Schwarz collaboration empowers developers to optimize RF systems in lab environments with real-world fidelity.
After a DOJ settlement, HPE’s $14B Juniper acquisition is set to close, paving the way for a new wave of AI-native networking innovation built for cloud, enterprise, and edge.
As GPU racks hit 150kW, throughput per watt has become the efficiency metric that matters, and SSDs are proving their worth over legacy infrastructure with 77% power savings and 90% less rack space.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Two decades of action and bold milestones show why Schneider Electric is recognized as the world’s most sustainable company, driving impact across climate, resources, and digital innovation.
Explore myths, metrics, and strategies shaping the future of energy-efficient data centers with Solidigm’s Scott Shadley, from smarter drives to sustainability-ready architectures.
Cloud waste, FinOps, and sustainability goals are reshaping data engineering. Teams that design efficient stacks, track cost and energy, and treat constraints as features will ship more with less.
At Commvault SHIFT, “ResOps” and AI resilience were framed as the next operating model for enterprises facing AI-driven threats and cloud sprawl, raising the bar for what “clean” recovery should mean.
AI is turning product development into a living, experiment-led system, where causal inference, data and automation form a feedback loop that learns from releases to build smarter products faster.
Stepping into a new cybersecurity leadership role, the smartest first move isn’t a new tool or policy, but questions. Use these 15 to map risk, culture, and influence before you start changing anything.
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.
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.
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.
From WEKA’s memory grid and exabyte storage to 800G fabrics, liquid-cooled AI factories, edge clusters, and emerging quantum accelerators, SC25 proved HPC is now about end-to-end AI infrastructure.
Xeon 6 marries P-cores, E-cores, and scalable memory to feed data-hungry HPC workloads, eliminating bandwidth bottlenecks so spectral sims and other memory-bound codes can finally scale.
On Day 1 of KubeCon + CloudNativeCon Atlanta, CNCF unveiled Kubernetes AI Conformance to make workloads portable—arriving as inference surges to ~1.33 quadrillion tokens/month across Google’s systems.
Multi-year agreement makes VAST AI OS CoreWeave’s primary data foundation, aligning roadmaps for instant dataset access and performance across training and real-time inference in global AI cloud regions.
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.
Modern software-defined cars blend multiple links—CAN/LIN, MIPI, SerDes, and Ethernet/TSN—to shrink wiring and cost, manage EMI, and deliver reliable, deterministic timing from sensors to actuators.
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.
Veteran technologist and TechArena Voice of Innovation Robert Bielby reflects on a career spanning hardware, product strategy, and marketing — and shares candid insights on innovation, AI, and the future of the automotive industry.
Bradbrook shares principles behind Antillion’s edge platforms—usability, fast iteration, real-world testing—and why the metric that matters most is durable value: tech that still works a decade later.
Dell and Solidigm explore how flash storage is transforming creative pipelines—from real-time rendering to AI-enhanced production—enabling faster workflows and better business outcomes.
OnLogic's Hunter Golden reveals how enterprises can deploy effective AI at the edge with right-sized hardware, lower costs, and even better performance than cloud alternatives.
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.
Through digital twin modeling and hardware testing, this Ansys and Rohde & Schwarz collaboration empowers developers to optimize RF systems in lab environments with real-world fidelity.
After a DOJ settlement, HPE’s $14B Juniper acquisition is set to close, paving the way for a new wave of AI-native networking innovation built for cloud, enterprise, and edge.
In this Data Insights episode, Andrew De La Torre discusses how Oracle is leveraging AIOps to enable automation and optimize operations, transforming the future of telecom.
In this episode of In the Arena, Palo Alto Networks’ Dharminder Debisarun explores the challenges of securing smart industries, preventing attacks, and staying ahead in an evolving threat landscape.
MWC is more than flashy demos—it’s where the future of AI, edge, and network automation takes shape. From agentic AI to fraud detection and public safety, these innovations are redefining real-world impact.
As GPU racks hit 150kW, throughput per watt has become the efficiency metric that matters, and SSDs are proving their worth over legacy infrastructure with 77% power savings and 90% less rack space.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Two decades of action and bold milestones show why Schneider Electric is recognized as the world’s most sustainable company, driving impact across climate, resources, and digital innovation.
Explore myths, metrics, and strategies shaping the future of energy-efficient data centers with Solidigm’s Scott Shadley, from smarter drives to sustainability-ready architectures.
New open-source key management system could revolutionize data center sustainability by enabling safe reuse of storage drives while also improving data security for cloud service providers.
Despite regulatory confusion slowing innovation, AI-driven ESG tools are gaining traction as corporations race to meet evolving compliance demands and data transparency expectations.
