Camberley Bates shares insights on Google’s role and impact in the AI infrastructure space as seen during the AI Infrastructure Tech Field Day. The article highlights how Google leverages its expertise to advance AI technologies and infrastructure, influencing various industry practices. For detailed coverage of AI Infrastructure Field Day 2, read more articles by Camberley Bates on LinkedIn Pulse.
AI Tools for the Network Infrastructure
Exploring AI tools can greatly enhance network infrastructure efficiency and performance. By integrating AI technologies, companies can optimize data flow, enhance security, and predict network failures before they happen. That’s the gist of this update from Carole Warner Reece following Selector’s presentation at Networking Field Day 37.
NFD37: Old Dogs, New Tricks, Patient Tutors
Scott Robohn initially dismissed quantum computing as too far from operational use. However, after a presentation by BT Group at NFD37, he realized that his lack of understanding was biasing his opinion. In this article following Networking Field Day, Scott discusses the topic in more detail.
From Data Centers to the Edge: HPE ProLiant’s Security Revolution for the AI Age
Jack Poller’s latest LinkedIn Pulse article discusses the significant advancements in security within HPE ProLiant servers, a critical development as operations move from data centers to edge locations in our AI-driven era. He details how the enhanced security features are designed to meet the increasing demands for reliable and robust protection against sophisticated cyber threats in edge computing environments. This LinkedIn Pulse article follow’s Jack’s participation in our special Tech Field Day event with HPE.
HPE ProLiant Gen12 and iLO 7: A 2025 Approach to Server Security and Manageability
Jeffrey Powers discusses the innovative features of HPE ProLiant Gen12 servers, emphasizing their enhanced security protocols and improved manageability through the integrated iLO 7 technology. By providing a forward-looking perspective, he highlights how these advancements align with the demands projected for enterprise infrastructure in 2025. This LinkedIn Pulse follows Jeffrey’s participation in our recent Tech Field Day exclusive event with HPE.
HPE and the Value of On-Prem: ProLiant Gen12 Servers
Guy Currier’s latest analysis focuses on Hewlett Packard Enterprise’s (HPE) commitment to on-prem solutions, specifically spotlighting the ProLiant Gen12 servers. He discusses the servers’ new features and how these enhancements align with current IT infrastructure demands. For more coverage of our recent Tech Field Day Exclusive event with HPE, watch the Tech Field Day website and social media channels!
Innovation with Microsoft Security Copilot and AI Agents
Karen Lopez’s latest piece focuses on the advancements in Microsoft Security Copilot and AI Agents, highlighting their role in enhancing cybersecurity measures through innovative AI integrations. She explores the implications and potential benefits these technologies offer to enterprise security environments, emphasizing their capability to streamline tasks and bolster defense mechanisms. This article was inspired by Microsoft’s presentation at our recent Tech Field Day Showcase.
Why Is AI Inferencing the Next Battleground for Enterprise Tech?
Following Kamiwaza’s presentation at AI Field Day, Jack Poller explored the significance of AI inferencing in enhancing enterprise technology, identifying it as a crucial competitive frontier. His analysis covers the accelerative technologies and innovative strategies that are transforming AI’s application in the business landscape. For further insights on AI Field Day 6, follow Jack Poller’s posts on LinkedIn Pulse.
Unlocking GPU Potential: How MemVerge Solves Enterprise AI Infrastructure Challenges
Jack Poller recently covered how MemVerge addresses significant hurdles in enterprise AI infrastructure by optimizing GPU performance, crucial for handling extensive workloads and AI applications. He highlights MemVerge’s innovative approach in enabling more efficient memory management, which in turn, enhances computing processes and speeds up AI project delivery times. For additional insights on AI Field Day 6, follow Jack Poller’s updates on LinkedIn Pulse.
3 Ways OBSERVABILITY is Evolving: How Selector AI is Changing the Game
In this LinkedIn Pulse article, Shala Denise explores three significant ways in which observability is advancing, particularly focusing on the transformative impact of Selector AI technology. She highlights how Selector AI refines data interpretation, enhances operational efficiency, and fosters proactive problem-solving strategies within IT systems. For more from Cloud Field Day 22, follow Shala’s coverage on GiftedLane.
3 Key Challenges in Cloud Networking: Visibility, Control, and the Future of NaaS
In this post by Shala Denise, three primary challenges facing cloud networking are highlighted: visibility, control, and the evolving landscape of Network as a Service (NaaS). Denise explores how these issues impact enterprise IT, noting that understanding and managing them is crucial for optimizing cloud network operations and ensuring robust security. This post was inspired by the Infoblox presentation at Cloud Field Day 22.
Measuring Success in the AI Revolution: The Critical Role of MLCommons
Jack Poller’s insightful analysis on LinkedIn focuses on the pivotal role of MLCommons in benchmarking tools and datasets during the surge of AI technologies. In his article, Poller explores how MLCommons is setting the standards for machine learning performance, thereby shaping the future of AI development and implementation across various industries. For further insights on AI Field Day 6 from Jack Poller, explore his coverage on LinkedIn Pulse.
Kamiwaza: Orchestrating Generative AI
Jim Czuprynski has recently shared insights on the strategic implementation of generative AI through Kamiwaza’s innovative orchestration capabilities, highlighting how this technology can transform enterprise IT strategies. He explores the powerful potential of AI to automate complex systems and drive significant advancements in operational efficiency and decision-making processes. For additional insights on AI Field Day 6, check out Jim Czuprynski’s posts on LinkedIn Pulse.
Short datacenter wrap up on Cisco Live 2025 EU
Matyáš Prokop provides a concise summary of the key highlights from Cisco Live 2025 EU, focusing on the latest advancements and trends in datacenter technology. His coverage offers insights into new strategies and solutions that are shaping the future of enterprise IT infrastructure. For more coverage by Matyáš Prokop following Tech Field Day at Cisco Live, watch his LinkedIn feed!
VMware: Let’s Take This AI Thing Private!
Jim Czuprynski discusses VMware’s strategic pivot towards private artificial intelligence solutions in his latest LinkedIn Pulse article. He explores how this move could redefine cloud computing boundaries and enhance data security and computation efficiency for their clients. For additional insights from AI Field Day 6, follow Jim Czuprynski’s coverage on LinkedIn Pulse.
MLCommons: Bench More AI Weight With Less Pain
Jim Czuprynski offers an insightful look at MLCommons in his latest article, highlighting its initiative to streamline the benchmarking of AI models to enhance performance optimization with minimal hassle. He explores how MLCommons is setting new standards for fair and efficient AI benchmarks that can significantly ease the burdens on developers. For additional insights on AI Field Day 6, see Jim Czuprynski’s coverage on LinkedIn Pulse.
MemVerge: Machining AI Memory Needs To Size
In his latest LinkedIn Pulse article, Jim Czuprynski reviews MemVerge’s novel approach to optimizing memory architectures for AI workloads. He explores how MemVerge’s technology seamlessly scales to meet the intensive demands of AI applications, enhancing efficiency and processing speed. For more insights from AI Field Day 6, read Jim Czuprynski’s coverage on LinkedIn Pulse.
How MLPerf Proves AI Client and Storage Performance
Stephen Foskett provides his perspective on how MLCommons MLPerf benchmarks are vital in measuring the performance of AI clients and storage systems. He examines the impact of these benchmarks on understanding and improving client and storage hardware efficiency in AI applications. For additional coverage of AI Field Day 6 by Stephen Foskett, watch his LinkedIn Pulse article feed!
Revolutionizing Edge Computing: How Zededa Brings Cloud Agility to the Edge
Jack Poller provides insights into how Zededa is transforming edge computing by integrating cloud-like agility directly at the edge, enhancing both the flexibility and scalability of deployments. He examines the implications of this approach for traditional cloud services and discusses how it can lead to more robust, efficient, and scalable edge solutions. For extended coverage of Edge Field Day 3, check out Jack Poller’s LinkedIn Pulse articles.
Can You Run Virtualized Infrastructure at the Edge?
Jack Poller explores the feasibility and implications of deploying virtualized infrastructure with VMware at the edge, discussing the technological advancements and potential challenges that come with edge computing. He breaks down key considerations, including connectivity, resource management, and security, poised to influence enterprise decisions around locating computing resources closer to data sources. For additional insights on Edge Field Day 3, explore Jack Poller’s comprehensive analysis on LinkedIn Pulse.