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Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.

RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.

These data-infrastructure shifts will determine which enterprises scale AI in 2026, from real-time context and agentic guardrails to governance, efficiency, and a more resilient data foundation.

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.

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.

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.

By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.

AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.

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.

Robert Bielby assesses his 2025 predictions for the automotive industry and examines Intel’s exit, China’s BYD beating Tesla, German market woes, and 8K display adoption.

By blending rugged design with Solidigm’s high-density SSDs, Antillion is redefining what’s possible in disconnected, real-time environments.

Multi-modal generative AI is transforming ADAS with compute-heavy LLMs, driving demand for HBM and memory safety to enable smarter, more human-like, and safer automotive navigation.

Part 1 of a series: Once tech followers, vehicles now lead the charge in advanced memory and storage, reshaping semiconductors with demands for speed, security, and software-defined performance.

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.

Cornelis CEO Lisa Spelman joins Allyson Klein to explore how focus, agility, and culture can turn resource constraints into a strategic edge in the fast-moving AI infrastructure market.

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.

Silicon innovation is moving fast to meet AI’s growing demands. At MWC, industry leaders from AMD, Arm, Intel & more tackled edge AI, efficiency, and the urgency of accelerating AI in 5G networks.

AI, 5G, and network automation are reshaping telecom. In this episode, Keate Despain discusses anticipated trends at MWC 2025, from edge computing to the road to 6G, and what’s next for network innovation.

Explore how Accenture and Oracle are revolutionizing the telco industry with their new all-in-one BSS solution, enabling cloud-native innovation, AI integration, and new revenue opportunities for service providers.

In this Tech Arena episode, Allyson Klein interviews Mehdi Daoudi, CEO of Catchpoint, on internet monitoring, observability innovations, and AI's impact on automation. Discover their latest tools enhancing performance.

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.

As AI transforms industries, its significant energy demands raise concerns about environmental sustainability, prompting a need for careful infrastructure planning and resource management.

As shifting regulations disrupt environmental, social and governance efforts, AI and advanced data analytics emerge as key drivers of progress, offering opportunities for scalable, impactful ESG strategies.

In this blog post, Cognizant's Vernon Turner explains Sustainable IT, stressing app efficiency to cut emissions. As AI expands, IT energy demands may double, making sustainable practices crucial.

Jonathan Koomey of Koomey Analytics shares insights on AI’s role in energy efficiency, sustainability, and the tech sector’s potential to address climate challenges in this must-listen episode.

Allyson Klein and Roy Chua, founder & principal of AvidThink, explore AI-driven networking, sustainability challenges, energy efficiency, and more in this insightful episode, recorded at OCP Summit 2024.

Sustainability, data sovereignty, and competitive pricing drive OVHcloud's mission to challenge industry giants and shape the future of cloud computing.