HPE ProLiant Compute at the Edge

Event: Next Gen HPE ProLiant Compute Deep Dive

Appearance: HPE ProLiant Compute at the Edge

Company: HPE

Video Links:

Personnel: Chris Bradley, Gary Wang, Priya Sharma

The HPE ProLiant edge compute team presents the new DL145, focusing on unique workloads, security, and lifecycle management features of the platform. Presented by Priya Sharma, DL145 Product Manager, Gary Wang, Compute Solutions, and Chris Bradley, Technical Enablement Manager.

The presentation began with an overview of the edge computing landscape, emphasizing its differences from traditional data center environments and explaining the growing importance of edge deployments. Priya Sharma highlighted the shift in enterprise computing, as 25% of all servers are projected to be deployed at the edge by 2027, driven by latency-sensitive applications, data security needs, and real-time decision-making. She defined edge environments as uncontrolled, non-data center locations like retail stores, factory floors, and outdoor sites. HPE observed a need for purpose-built edge hardware, as many current edge deployments still rely on inadequate consumer-grade devices that can’t meet requirements for performance, reliability, environmental resilience, and remote manageability.

To address these challenges, HPE introduced the ProLiant DL145 Gen11 server, a compact, ruggedized edge platform designed from the ground up based on extensive customer feedback. Key features of the DL145 include a minimal footprint and wall-mount option for space-limited environments, quiet operation, filtration for dusty settings, and support for extreme temperatures. The server is powered by AMD’s 4th Gen EPYC Sienna CPU series with options ranging from 8 to 64 cores and includes up to eight storage drives delivering as much as 92TB capacity depending on drive types. Enhanced physical and cyber security features like chassis intrusion detection, self-encrypting drives, and integrated iLO 6 management are also included. Moreover, the DL145 supports high-performance GPUs like the NVIDIA L4 and L40S for inferencing and edge AI use cases.

Gary Wang elaborated on real-world deployment blueprints, illustrating how verticals like retail and manufacturing can benefit from a two-node DL145 configuration—one for AI analytics and another for traditional applications. Chris Bradley expanded on how HPE’s ComputeOps Management (COM), a component of the GreenLake platform, provides seamless, cloud-based infrastructure management for thousands of distributed edge devices. With tools like ILO for remote telemetry and Redfish API support, administrators can perform updates, monitor health, and ensure security compliance from a centralized interface. The HPE GreenLake ecosystem integrates compute, networking (Aruba), and storage (Electra), providing an end-to-end solution for modern edge environments.


HPE ProLiant Compute Gen12 Portfolio Overview

Event: Next Gen HPE ProLiant Compute Deep Dive

Appearance: HPE ProLiant Portfolio Overview

Company: HPE

Video Links:

Personnel: Darren Anthnoy

In this presentation, Darren Anthony highlights the long-standing innovation and evolution of the HPE ProLiant server platform, beginning with its debut in 1993. He traces the portfolio’s development through key milestones such as the introduction of four-processor blades in 2003, Gen 8 in 2012, Silicon Root of Trust in 2017, and Gen 11 in 2022. The newly launched Gen 12 servers build upon this legacy with significant advancements in security, performance, and efficiency, reaffirming HPE’s commitment to innovation in the face of evolving IT workloads and security threats.

A major feature of Gen 12 servers is the enhanced Integrated Lights-Out (iLO) 7 management processor, built upon HPE’s proprietary 64-bit ASIC. This includes a new secure enclave, effectively a hardware-based security module akin to a TPM, which provides tamper protection and cryptographic storage. These enhancements are HPE’s response to growing concerns from customers about hardware and supply chain security, especially as threats such as quantum computing become more prominent. The secure supply chain initiatives ensure server integrity from the factory floor to customer delivery, providing confidence to CISOs and infrastructure leaders alike.

Beyond security, Gen 12 also addresses modern application demands by supporting increasingly dense configurations and emerging workloads, such as AI and high-performance computing. Anthony discusses the challenges of thermal management as components grow more power-hungry, and notes HPE’s readiness for liquid cooling, calling back to decades of IP in this space. With support for advanced accelerators and collaboration with partners like NVIDIA and Intel, the Gen 12 lineup includes flexible platforms for edge, SMB, enterprise, and AI environments. This broad portfolio underscores HPE’s agility to meet a variety of workload needs while remaining forward-looking in compute infrastructure design.


Secure Your AI Applications with Microsoft Defender for Cloud

Event:

Appearance: Securing AI with Microsoft Security Copilot and Defender

Company: Microsoft Security

Video Links:

Personnel: Neta Haiby

Neta Haiby, Partner Product Manager, Security at Microsoft, emphasizes the importance of securing AI applications with Microsoft Defender for Cloud. She highlights key security challenges organizations face when adopting AI, including data leaks, injection attacks, and regulatory compliance. AI security extends beyond traditional threats to include model vulnerabilities, prompt injections, and amplified data risks. Defender for Cloud provides a layered security approach, integrating security posture management, threat protection, and real-time monitoring across AI workloads. It enables visibility into AI assets, detects vulnerabilities, and helps developers remediate security gaps. As AI adoption grows, securing custom-built applications becomes essential to safeguarding data, models, and user interactions.

Being secure is the first step towards AI innovation. Join Microsoft Secure and learn how to harden your defenses by exploring new AI-first tools, demos, and best practices. Register now: aka.ms/GestaltITSecure #MSSecure


The Security Copilot Journey with Microsoft Security

Event:

Appearance: Securing AI with Microsoft Security Copilot and Defender

Company: Microsoft Security

Video Links:

Personnel: Nick Goodman

Nick Goodman, Partner Product Manager Security Copilot at Microsoft, shares Copilot’s evolution from a chat-based assistant to an integrated AI tool embedded in security workflows. Initially designed to assist analysts through queries, Security Copilot quickly adapted to automation and workflow integration within products like Defender and Intune. Key use cases include phishing investigations, SOC situational awareness, process verification, and e-discovery. Microsoft has introduced multi-tenancy, flexible capacity, and multi-workspaces to enhance usability. Additionally, new security agents will automate threat response, vulnerability management, and conditional access policy enforcement, reducing manual workload and improving real-time security operations.

Being secure is the first step towards AI innovation. Join Microsoft Secure and learn how to harden your defenses by exploring new AI-first tools, demos, and best practices. Register now: aka.ms/GestaltITSecure #MSSecure


Building a Community Around Network Automation with NAF

Event: Networking Field Day 37

Appearance: Networking Field Day 37 Community Sessions

Company: Tech Field Day

Video Links:

Personnel: Scott Robohn

Find out more about the Network Automation Forum and the community that has sprung up around it. See the foundations of the organization and how they have grown to encompass so many areas as well as putting on their own highly-regarded conference on two continents. Get involved in NAF and spread the word with your community as well.


US Networking User Association Overview with Jason Gintert

Event: Networking Field Day 37

Appearance: Networking Field Day 37 Community Sessions

Company: Tech Field Day

Video Links:

Personnel: Jason Gintert

Learn the journey that Jason Gintert has taken toward creating a vendor-neutral networking user organization. See the obstacles that he has overcome and learn about the team that enables USNUA chapters to exist all over the country. See how the local chapters work with a special guest speaker and find out how to get involved!


Selector AI Conclusions on the Future of Network Automation

Event: Networking Field Day 37

Appearance: Selector AI Presents at Networking Field Day 37

Company: Selector AI

Video Links:

Personnel: John Capobianco

In this wrap up, learn Selector.ai’s thoughts on the future of network automation. See how they are integrating AI copilots and RCA into environments and gleaning data from your network to help build more robust solutions to automation challenges. Get insights from Tech Field Day delegates on the challenges that need to be solved and where Selector.ai can help the most.


The Operational Twin: Past Present and Future of Your Network with Selector.ai

Event: Networking Field Day 37

Appearance: Selector AI Presents at Networking Field Day 37

Company: Selector AI

Video Links:

Personnel: John Capobianco

Learn all about operational twins in this video. See how past historical data and present insights from your network in real time can be combined in the operational twin to predict future performance and issues. In addition, find out how the operational twin leverages copilots and agents to provide full lifecycle management of your network infrastructure.


Selector AI RCA AI Agents: Closing the Loop on Automated Remediation

Event: Networking Field Day 37

Appearance: Selector AI Presents at Networking Field Day 37

Company: Selector AI

Video Links:

Personnel: John Capobianco

AI can help network operations teams with root cause analysis (RCA). Gone are the days of reactive troubleshooting. Instead, see how Selector.ai uses AI to assist with detection, diagnosis, and remediation of network issues automatically to create a self-healing network. Shown in the video is a demo of AI detecting an outage and automatically applying fixes to bring it back online.


Selector AI Copilot: Talking to Your Infrastructure

Event: Networking Field Day 37

Appearance: Selector AI Presents at Networking Field Day 37

Company: Selector AI

Video Links:

Personnel: John Capobianco

See network copilot in action! Learn how Selector.ai can talk to your network infrastructure and assist with troubleshooting, automation, and gaining insights on the state of your systems. Included is a demo of copilot working with a test system to show how it interacts with data and presets the results to operators.


Transforming IT Operations: The Power of AI Agents, RCA, and Operational Twins

Event: Networking Field Day 37

Appearance: Selector AI Presents at Networking Field Day 37

Company: Selector AI

Video Links:

Personnel: John Capobianco

In this session, learn how AI is transforming the world of network operations. The shift in the industry is leading towards AI-drive infrastructure management. Learn how Selector.ai is combining copilots, RCA, and Operational Twins together to help streamline your operations and ensure teams are working at peak efficiency.


Architecting Sovereign SASE in Your Infrastructure with Versa

Event: Networking Field Day 37

Appearance: Versa Presents at Networking Field Day 37

Company: Versa Networks

Video Links:

Personnel: Adrien Olalainty

Versa’s Sovereign SASE is built on a fully integrated, carrier-grade single software stack designed to meet the needs of both service providers and enterprises. In this session, Systems Engineer Adrien Olalainty will provide a technical deep dive into Versa’s SASE architecture, and explore how organizations typically evolve to a fully integrated Sovereign SASE solution.


From Cloud to Sovereign: Exploring Versa’s Three SASE Deployment Options

Event: Networking Field Day 37

Appearance: Versa Presents at Networking Field Day 37

Company: Versa Networks

Video Links:

Personnel: Anuj Dutia

The VersaONE Universal SASE platform offers three deployment options

  • SASE-as-a-Service
  • Private SASE
  • Sovereign SASE

providing enterprises and service providers with the flexibility to choose the model that best fits their security, control, and sovereignty requirements. In this session, VP of Global Solutions Strategy Anuj Dutia will explore the differences between these deployment models, and explain the key use cases that Sovereign SASE solves.


Why Versa Sovereign SASE? The Critical Challenges of Security Compliance and Control

Event: Networking Field Day 37

Appearance: Versa Presents at Networking Field Day 37

Company: Versa Networks

Video Links:

Personnel: Kelly Ahuja

As organizations navigate evolving security, compliance, and operational challenges, the need for a more flexible, sovereign approach to SASE has never been greater. In this session, Versa CEO Kelly Ahuja will explore the business drivers behind the need for Sovereign SASE, including data sovereignty requirements across different regions and industries; operational control and business continuity challenges when relying on multi-tenant, cloud-native SASE models; and security limitations of standard cloud-delivered SASE.


The Quantum Reality: Risks, Market Pressures, and Ecosystem Challenges

Event: Networking Field Day 37

Appearance: BT Presents at Networking Field Day 37

Company: BT

Video Links:

Personnel: Andrew Lord

An honest assessment of the current quantum landscape. Andrew Lord examines the risks and uncertainties surrounding quantum technology, including market competition, funding challenges, and technical barriers. Exploring how ecosystems are evolving to support quantum development and what factors could accelerate or slow down progress. Get a balanced view of the quantum state of play and the strategic decisions that lie ahead.


Quantum Progress and Roadmap: How Close Are We?

Event: Networking Field Day 37

Appearance: BT Presents at Networking Field Day 37

Company: BT

Video Links:

Personnel: Andrew Lord

How close are we to practical quantum computing? Andrew Lord assesses the current state of quantum technology, highlighting recent milestones, and BT’s role in driving innovation. Discussing realistic expectations for the next 10–15 years, including breakthroughs in quantum hardware and software. Gain a clear understanding of where quantum stands today and where it’s heading next.


Quantum Security Overview: The Cryptography Challenge

Event: Networking Field Day 37

Appearance: BT Presents at Networking Field Day 37

Company: BT

Video Links:

Personnel: Andrew Lord

Quantum computing presents a major challenge to traditional cryptography, threatening to break widely used encryption methods. Andrew Lord dives into how quantum computers could undermine current security systems and what’s being done to mitigate the risk. Learn about Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD), two critical approaches to safeguarding data in the quantum era. Gain insights into how organisations are preparing for the shift to quantum-resistant security.


Introduction to Quantum Computing and Communications with BT

Event: Networking Field Day 37

Appearance: BT Presents at Networking Field Day 37

Company: BT

Video Links:

Personnel: Andrew Lord

Explore the fascinating world of quantum computing and communications. Andrew Lord introduces the fundamental concepts of quantum mechanics, explaining why quantum technology is poised to be transformational, and explore the potential capabilities of quantum computers. Covering how quantum communications could revolutionise data transfer and security. Discover why the quantum future is closer than you think and how it could reshape industries from finance to healthcare.


It is time for Operations teams to Code or die – Cloud Field Day 22 Delegate Roundtable

Event: Cloud Field Day 22

Appearance: Cloud Field Day 22 Delegate Roundtable Discussion

Company: Tech Field Day

Video Links:

Personnel: Alastair Cooke

This Cloud Field Day delegate roundtable grappled with the evolving and often confusing definition of “AI.” The discussion highlighted the blurring lines between artificial intelligence, machine learning (ML), and the recent surge in popularity of generative AI. Panelists noted the marketing tendency to label any automation or intelligent feature as “AI,” leading to a diluted understanding of the underlying technologies. The lack of clear distinctions confused both consumers and businesses, hindering the effective evaluation and application of AI solutions.

A central theme emerged around the distinction between machine learning, which the panelists viewed as a foundational science providing the underlying mathematical framework, and AI as the resulting intelligent application or product. Generative AI, with its flashy interfaces and readily accessible tools like ChatGPT, has further muddied the waters, overshadowing the broader field of AI and its various forms. The panelists agreed that many companies are using “AI” as a marketing ploy without demonstrating genuine, impactful AI integration.

Ultimately, the conversation concluded that AI, particularly generative AI, is often a feature rather than a standalone product. Its true value lies in enhancing existing tools and processes, automating tasks, and improving efficiency. The panelists stressed the need for focusing on real-world business use cases, moving beyond the hype, and clarifying the specific type of AI being employed. The potential for AI to transform cloud management and various industries was acknowledged, but a cautious approach was urged, emphasizing the need for careful evaluation and responsible implementation.


Just what is AI anyway – Cloud Field Day 22 Delegate Roundtable

Event: Cloud Field Day 22

Appearance: Cloud Field Day 22 Delegate Roundtable Discussion

Company: Tech Field Day

Video Links:

Personnel: Alastair Cooke

This Cloud Field Day delegate roundtable grappled with the evolving and often confusing definition of “AI.” The discussion highlighted the blurring lines between artificial intelligence, machine learning (ML), and the recent surge in popularity of generative AI. Panelists noted the marketing tendency to label any automation or intelligent feature as “AI,” leading to a diluted understanding of the underlying technologies. The lack of clear distinctions confused both consumers and businesses, hindering the effective evaluation and application of AI solutions.

A central theme emerged around the distinction between machine learning, which the panelists viewed as a foundational science providing the underlying mathematical framework, and AI as the resulting intelligent application or product. Generative AI, with its flashy interfaces and readily accessible tools like ChatGPT, has further muddied the waters, overshadowing the broader field of AI and its various forms. The panelists agreed that many companies are using “AI” as a marketing ploy without demonstrating genuine, impactful AI integration.

Ultimately, the conversation concluded that AI, particularly generative AI, is often a feature rather than a standalone product. Its true value lies in enhancing existing tools and processes, automating tasks, and improving efficiency. The panelists stressed the need for focusing on real-world business use cases, moving beyond the hype, and clarifying the specific type of AI being employed. The potential for AI to transform cloud management and various industries was acknowledged, but a cautious approach was urged, emphasizing the need for careful evaluation and responsible implementation.


« Previous Page
Next Page »