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Feeling overwhelmed by AI? You’re not alone. This new series cuts through the hype to explore practical tools, evolving trends, and smart strategies to help you navigate the AI ecosystem.

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

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.

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.

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.

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.

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. 

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.

The HPE-owned platform combines unified observability, smart alert correlation, and automation to tackle hybrid IT complexity while also working with existing monitoring tools.

AIStor’s stateless, gateway-free design solves legacy storage issues, enabling high-performance object-native infrastructure for exabyte-scale AI and analytics workloads.

At Cloud Field Day 23, Qumulo showcased its cloud data fabric, unifying hybrid environments and solving real-world challenges in media, pharma, public safety, and more with strict data consistency.

A solution from HPE and SAP aims to simplify SAP Cloud ERP adoption with managed private cloud, ecosystem integration, and AI agents for enterprise transformation.

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.

At Cloud Field Day 23, Scality highlighted real-world deployments that tackle petabyte-scale challenges with resilience, flexibility, and customer-driven innovation.

Palo Alto Networks executives explore how AI is reshaping cybersecurity, warning that complexity is the enemy – and intelligent, unified platforms are the future.

Hunter Golden of OnLogic joined Allyson Klein for a candid conversation on scaling edge infrastructure, avoiding over-spec'ing, and right-sizing hardware for evolving AI workloads.

With AI-driven tools and end-to-end protection, Commvault targets security threats while simplifying across SaaS, cloud, and edge environments.

As Broadcom reshapes VMware, enterprise IT teams are voting with their feet – migrating in droves in search of open, modern, cloud-native infrastructure alternatives.

Cornelis debuts CN5000, a 400G scale-out network built to shatter AI and HPC bottlenecks with lossless architecture, linear scalability, and vendor-neutral interoperability.

Updated data platform combines hyperscale capacity with reduced flash requirements while adding native Kubernetes support and end-to-end encryption for enterprise customers.

Google launches AI Ultra, a $249.99/month plan bundling its top AI tools – but the high price and full-stack consolidation raise questions about accessibility and hyperscaler ecosystem lock-in.

As tech giants and nations race for dominance, agile innovators focus on human needs to redefine the future of human-robot relationships.

From self-organizing drones to software managing supply chains, agentic AI is creating systems that are reshaping industries. We break down the latest developments and what you can do to prepare.

Industry experts from Avayla, Perpetual Intelligence and the Liquid Cooling Coalition discuss liquid cooling, thermal design, and policy blind spots as rack power for AI workloads surges past 600kW.

VAST Data unveils a unified AI Operating System built to run agentic workloads at scale – combining data, compute, and orchestration into a single platform for the era of the thinking machine.

Trump’s deal to supply AI chips to the UAE and Saudi Arabia signals a strategic U.S. shift — boosting allies' AI ambitions while raising questions about export policy, energy, and control of truth.

This special report explores the infrastructure innovations required to support AI-scale data centers, highlighting the escalating demands of generative AI on power, cooling, and rack architecture.

Peak:AIO’s strategies for maximizing node efficiency and intelligent storage solutions offer scalable, cost-effective AI infrastructure, driving innovation from data collection to inference.

Chip design just got smarter. Synopsys partnered with Microsoft and NVIDIA to reimagine semiconductor workflows, pushing the boundaries of AI infrastructure and next-gen compute.

As AI drives explosive data growth, next-gen SSDs deliver the speed, density, and efficiency to outpace HDDs—reshaping storage strategy for tomorrow’s data-centric data centers.

Databricks is acquiring Neon to bring serverless Postgres to AI agents — accelerating the future of agentic applications with open, high-speed, pay-as-you-go data infrastructure.

Intercontinental Exchange (ICE) leverages AI and optimized storage solutions to handle massive data sets, enhance real-time analysis and prevent fraud across its financial networks.

The Common Vulnerabilities and Exposures (CVE) landscape is shifting—governance is changing, and security pros are moving beyond raw CVE counts to focus on context-aware, risk-based vulnerability management.

Quantum breakthroughs from Microsoft, Quantinuum, and Google signal accelerating progress—but are we nearing a tipping point or still deep in the hype cycle?

Dell’s parallel file system promises unmatched speed and efficiency, offering a significant leap forward in storage technology that addresses the extreme performance needs of AI workloads.

OVHcloud’s infrastructure strategy includes value chain integration, water-cooled data centers and servers with high-performance storage capabilities, setting it apart in the cloud industry.

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

Agentic AI is set to disrupt how enterprises manage their workflows, data and IT infrastructure. Lynn Comp, Head of Intel’s AI Center of Excellence, outlines how to prepare for the transformation.

Solidigm and M2M Direct discuss the latest AI-driven trends in cloud computing and how the importance of flexibility, scalability and security in modern cloud environments is reshaping the industry.

Oracle is working with telecom operators to demonstrate the transformative potential of AI-driven network automation, paving the way for faster, more reliable digital connectivity in the 5G era.

From breakthrough 122TB SSDs to the industry’s first liquid-cooled storage, Solidigm’s Avi Shetty unpacks how storage is powering AI workloads from hyperscale to neo-cloud.

From GPU and storage servers to turnkey rack-scale solutions, Giga Computing showcases its expanding OCP portfolio and the evolution of Giga PODs for high-density, high-efficiency data centers.

Open Compute EMEA Summit featured announcements of major rack and power architecture innovations that address AI-driven data center challenges with advanced cooling and engineering solutions.

From 122TB QLC SSDs to rack-scale liquid cooling, Solidigm and Supermicro are redefining high-density, power-efficient AI infrastructure—scaling storage to 3PB in just 2U of rack space.

At NVIDIA’s GTC, Supermicro and Solidigm showcased advanced storage and cooling technologies, addressing the growing demands of AI and data center infrastructure.

At OCP Dublin, Bel Power’s Cliff Gore shares how the company is advancing high-efficiency, high-density power shelves—preparing to meet AI’s demand for megawatt-class rack-scale infrastructure.

At OCP Dublin, ZeroPoint’s Nilesh Shah explains how NeoCloud data centers are reshaping AI infrastructure needs—and why memory and storage innovation is mission-critical for LLM performance.

From full rack-scale builds to ITAD, Circle B is powering AI-ready, sustainable infrastructure across Europe—leveraging OCP designs to do more with less in a power-constrained market.

In this TechArena interview, Avayla CEO Kelley Mullick explains why AI workloads and edge deployments are driving a liquid cooling boom—and how cold plate, immersion, and nanoparticle cooling all fit in.

At OCP Dublin, Sims Lifecycle’s Sean Magann shares how memory reuse, automation, and CXL are transforming the circular economy for data centers—turning decommissioned tech into next-gen infrastructure.

With AI-specific infrastructure on the rise, OCP must evolve beyond hyperscale to meet the needs of a new wave of providers. Neo-cloud is growing fast—can the standards keep up?

From NVIDIA’s quiet but massive influence to Fractile’s in-memory vision, MRAM, and next-gen power delivery—OCP Dublin gave us a glimpse into the future of AI-driven data center design.

At OCP Dublin, OVHcloud’s Gregory Lebourg shares how the company is giving customers real-time visibility into the carbon impact of their cloud workloads — before they even hit deploy.

Agentic AI is reshaping enterprise data, infrastructure, and governance. Intel’s Lynn Comp joins TechArena to explore how organizations can get ahead of the coming wave of change.

With EDA flows, broad IP, & EMIB-T support ready for Intel 18A/18A-P, Synopsys helps designers tackle high performance chip design.

Ahead of OCP Dublin, Matty Bakkeren joins Allyson Klein to break down rack innovations, liquid cooling, sovereignty, and the trends shaping data center infrastructure across Europe.

As GenAI adoption accelerates, organizations must rethink security from the silicon up to safeguard trust, compliance, and the integrity of AI-driven decisions.

Certified flows, IP, and 3DIC packaging tools from Synopsys and TSMC accelerate next-gen chip design for A16, N2P, and beyond — powering the future of AI and HPC.

At CloudFest 2025, Taurus Group and Solidigm showcased innovative, flexible IT infrastructure solutions, emphasizing the importance of open platforms and scalable storage for modern businesses.

With a dual-track AI strategy and commitment to renewable energy, European cloud provider Scaleway is reshaping hyperscale trends with focused innovation and environmental responsibility.

As global regulators close in on Google's dominance in search and ad tech, parallels emerge with past enforcement actions against other tech behemoths. Is history repeating itself in Silicon Valley?

At GTC, Giga Computing and Solidigm discussed the future of AI infrastructure, highlighting the critical role efficient computing plays in addressing the growing demand for AI-driven workloads.

At Synopsys’ Executive Forum, the future of semiconductor design came into focus: agentic AI systems that could one day autonomously create trillion-transistor microprocessors.

With Flex’s modular compute platform and NVIDIA’s AI leadership, Torc is building a scalable, power-efficient system to bring commercially viable autonomous freight to market by 2027.

Supermicro’s new MicroCloud platform, powered by AMD EPYC™ 4004 CPUs, delivers higher core density, network flexibility, and TCO advantages for cloud service providers at scale.

From Western Europe to the Middle East, ASBIS is solving infrastructure challenges with scalable solutions, regional expertise, and strategic partnerships like Solidigm.

At CloudFest 2025, Supermicro and Solidigm highlighted their cutting-edge hardware and storage solutions, driving advancements in AI, cloud infrastructure, and modern data demands.

Financial incentives and future legislation are pushing EV adoption, but advanced power electronics and battery technologies are crucial to addressing range anxiety and driving broader acceptance.

From runaway cloud costs to complex pipelines, Ocient is reshaping data performance with Solidigm SSDs, compute-adjacent storage, and in-database machine learning.

At GTC 2025, Solidigm’s Scott Shadley discussed the evolving landscape of AI infrastructure with Alluxio Founding Engineer and VP of Technology, Bin Fan.

At GTC 2025, Cloudflare laid out a roadmap for tools that support developers with real-time insights, scalability, and the freedom to integrate across platforms.

Product marketers have long relied on NIST for clarity and consistency — but with new frameworks emerging for AI, it's time to ask whether these guidelines go far enough in prioritizing fairness, safety, and accuracy.

At GTC 2025, a discussion between Deloitte and VAST showed how their partnership is scaling enterprise AI with secure, auditable infrastructure—bringing business value for next-gen, agentic AI adoption.

Verge.io’s George Crump shares how a unified infrastructure approach is driving efficiency, performance, and AI-readiness — without the legacy bloat.

At the intersection of cutting-edge tech and human empathy, CloudFest 2025 explored how AI, sustainability, and service-centric design are reshaping the future of data centers and digital infrastructure.

At GTC 2025, Nebius and VAST shared how their collaboration delivers high-performance, scalable AI infrastructure for enterprise workloads—making cloud AI more usable and accessible.

MLPerf Inference 5.0 signals the rise of large language models, with LLAMA 2 70B surpassing ResNet-50 in submissions and driving next-gen AI performance across compute platforms.

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.

Dryad Networks pairs its IoT sensor mesh with autonomous Silvaguard drones to confirm wildfires faster and give responders real-time eyes on the ground — before the smoke even rises.

MemryX, a provider of edge AI acceleration hardware, recently closed its latest round of funding, serving as a potential bellwether for the next growth edge in AI compute.

From VAST Data to Weka, Graid to Solidigm — storage disruptors shined bright at NVIDIA GTC 2025. Here’s how storage innovators are redefining AI infrastructure and why it matters to the future of AI.

Deloitte and VAST Data share how secure data pipelines and system-level integration are supporting the shift to scalable, agentic AI across enterprise environments.

This video explores how Nebius and VAST Data are partnering to power enterprise AI with full-stack cloud infrastructure—spanning compute, storage, and data services for training and inference at scale.

Weka’s new memory grid raises new questions about AI data architecture—exploring how shifts in interface speeds and memory tiers may reshape performance, scale, and deployment strategies.

Ampere joins SoftBank in a $6.5B deal, fueling speculation about AI’s next wave. Is this a talent acquisition, a play for Arm’s AI future, or a move to challenge NVIDIA’s dominance?

At MWC 2025, our own Allyson Klein had the honor of chatting with industry leaders from Ansys, Ampere, and Rebellions to explore AI’s enterprise adoption, hardware innovation, and power efficiency.

At MWC, AMD SVP and GM Salil Raje shared how AI at the edge is revolutionizing industries, from healthcare to automotive, with real-time processing, federated learning, and adaptive silicon innovations.

At GTC, Synopsys announced a new suite of electronic design automation tools that harness NVIDIA’s Grace Blackwell architecture to accelerate the next generation of silicon development.

At GTC 2025, VAST’s John Mao and NVIDIA’s Tony Paikeday discuss their recent announcement and how AI infrastructure is evolving to meet enterprise demand, from fine-tuning to large-scale inferencing.

As AI’s demand for faster data processing grows, PEAK:AIO delivers high-performance storage that eliminates bottlenecks—transforming industries from healthcare to conservation.

As NVIDIA takes the stage at GTC, we’re diving into DeepSeek’s impact, enterprise AI adoption, and the rise of agentic computing. Follow TechArena.ai for real-time insights from the AI event of the year.

In this blog, Robert Bielby explains how engineers leverage redundancy, decomposition, and fault detection to certify standard components for advanced safety compliance at the system level.

Generative AI is stealing the spotlight, but machine learning remains the backbone of AI innovation. This blog unpacks their key differences and how to choose the right approach for real-world impact.

In this blog, Sean Grimaldi explores how triple extortion ransomware exploits data, reputation, and online presence—making traditional defenses like backups increasingly ineffective.

Arm is deploying systems to fuel AI’s rapid evolution, with their energy-efficient compute enabling AI-at-scale from cloud to edge. In this blog, discover how Arm’s innovations are shaping the future of AI.

In a recent Fireside Chat, Andrew Feldman shared how Cerebras is working to redefine AI compute with wafer-scale innovation, surpassing GPU performance, and shaping the future of AI with groundbreaking inference delivery.

Join Intel’s Lynn Comp for an up-close TechArena Fireside Chat as she unpacks the reality of enterprise AI adoption, industry transformation, and the practical steps IT leaders must take to stay ahead.

Ransomware has evolved—now it’s personal. With extortion tactics evolving, stolen data is weaponized to destroy individuals’ reputations, relationships, and businesses. Here’s what you need to know.

MIPS’ recently announced Atlas portfolio integrates sensing, decision-making, and real-time control systems. These compute subsystems enable intelligent, autonomous machines across edge applications.