Platform9 Releases Private Cloud Director. Enables Virtual Machine Migration from VMware to OpenStack En-Masse.
Ken Nalbone reports on Platform9’s latest launch, the Private Cloud Director, which significantly enhances cloud infrastructure management by allowing seamless virtual machine migration from VMware environments to OpenStack. This new solution supports bulk operations, facilitating large-scale migrations efficiently and reducing the complexity typically associated with such processes. Private Cloud Director positions Platform9 as a key player in simplifying cloud transitions and expanding OpenStack adoption in diverse IT landscapes. Read more in this LinkedIn Pulse article inspired by the Platform9 presentation at Cloud Field Day 21.
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Looking Forward To NFD36!
In this LinkedIn Pulse article, Peter Welcher expresses his anticipation for the upcoming Networking Field Day event. He highlightes the significance of the event as a platform for in-depth technical discussions and insights into the latest trends and advancements in network technology. Welcher also shared his enthusiasm for engaging with other experts and thought leaders during the event, contributing to the ongoing dialogue about innovations in the field and gives a preview of the six presenters announced so far.
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Keysight for Testing AI Infrastructure
Justin Warren’s recent article highlights Keysight’s capabilities in testing AI infrastructure, underscoring their expertise in enhancing the reliability and efficiency of these technologies. He points out the critical role of robust testing in ensuring optimal performance and network integrity in AI systems. Warren also discusses how Keysight’s advanced tools are pivotal in managing the complexities of modern AI applications, thereby helping businesses to foster innovation while maintaining high standards of quality. Read more in this article by Justin Warren following Keysight’s presentation at AI Field Day 5.
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Keysight for Testing AI Infrastructure
The Evolving Landscape of AI Infrastructure: Powering the Future with Cisco
In this LinkedIn Pulse article, Jack Poller discusses the transformation of AI infrastructure, emphasizing Cisco’s pivotal role in addressing the escalating computational demands driven by the growing adoption of AI technologies. Through an exploration of Cisco’s latest innovations, Poller highlights how Cisco is equipping businesses to effectively manage and harness the enormous data generated by AI applications, fundamentally enhancing operational efficiency and innovation. The discussion underscores the importance of robust infrastructure in unlocking AI’s potential, positioning Cisco’s solutions at the forefront of this technological evolution. This article follows Cisco’s presentation at AI Field Day 5.
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The Evolving Landscape of AI Infrastructure: Powering the Future with Cisco
TNO006: Network Operations is Where It’s At
In this episode of the PacketPushers Fat Pipe podcast, Scott Robohn and Mike Bushong explore the critical role and evolving dynamics of network operations in today’s technology landscape. They discuss how network operations centers (NOCs) are adapting to new challenges, including increased network complexity and the adoption of cloud technologies. The discussion highlights the importance of innovation and strategic planning in ensuring that network operations efficiently support both current and future business needs. This podcast was recorded as a reaction to Nokia’s recent Networking Field Day Exclusive event.
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TNO006: Network Operations is Where It's At
Cisco Says AI Networking Is Just Another Workload
Cisco views AI networking as a mere additional workload, integrating artificial intelligence innovations directly into network infrastructure seamlessly. This approach underscores the practical capability of networks to adapt to AI demands without requiring specialized systems. Cisco’s strategy highlights its commitment to making high-performance AI computing resources universally accessible across its network platforms. Read more in this article by Justin Warren following Cisco’s presentation at AI Field Day 5.
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Cisco Says AI Networking Is Just Another Workload
Security Field Day 12 Delegate Roundtable Recap
Girard Kavelines recently participated in the Security Field Day 12, engaging in comprehensive discussions focused on the latest trends and challenges in cybersecurity. This event provided an insightful platform for industry leaders and innovators to share their expertise, strategies, and solutions for addressing complex security issues facing enterprises today. Two delegate roundtables offered an invaluable exchange of ideas, emphasizing the importance of advancing security measures and collaboration within the tech community. Read more in this LinkedIn Pulse article, describing the two roundtable discussions.
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Security Field Day 12 Delegate Roundtable Recap
There are Too Many Clouds
Public Cloud computing is a large part of enterprise IT alongside on-premises computing. Many organizations that had a cloud-first approach and are now gaining value from on-premises private clouds and seeing their changing business needs leading to changing cloud use. This episode of the Tech Field Day podcast delves into the complexity of multiple cloud providers and features Maciej Lelusz, Jack Poller, Justin Warren, and host Alastair Cooke, all attendees at Cloud Field Day. The awareness of changing business needs is causing some re-thinking of how businesses use cloud platforms, possibly moving away from using cloud vendor specific services to bare VMs. VMs are far simpler to move from one cloud to another, or between public cloud and private cloud platforms. Over time, the market will speak and if there are too many cloud providers, we will see mergers, acquisitions or failures of smaller specialized cloud providers. In the meantime, choosing where to put which application for the best outcome can be a challenge for businesses.
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The Rise of AI Networking: How Arista is Evolving Data Center Infrastructure
In this LinkedIn Pulse article, Jack Poller discusses AI networking. He focuses on Arista’s evolving role in data center infrastructure, discussing how their cutting-edge technologies are setting new industry standards. Poller highlights Arista’s integration of AI into their networking solutions, enhancing automation, analytics, and performance, fundamentally transforming data center operations. This evolution is poised to meet the growing demands for more efficient and robust data handling capabilities in increasingly AI-driven environments. This article was written following Arista’s presentation at AI Field Day 5.
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The Rise of AI Networking: How Arista is Evolving Data Center Infrastructure
More than web server certificates, digital identity
Alastair Cooke discusses the broader implications and applications of digital identity beyond merely securing web server communications with certificates. He highlights how digital identity serves as a foundational element in enhancing security across various networking domains, from user authentication to device validation. Cooke’s discussion underscores the vital role that comprehensive digital identity strategies play in safeguarding modern digital environments. Read more in this LinkedIn Pulse article inspired by the DigiCert presentation at Security Field Day 12.
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More than web server certificates, digital identity
Elastic Is Far More Useful Than Mere Search Chatbots
This article by Justin Warren emphasizes the expansive utility of Elastic beyond its conventional use as just a platform for search chatbots. He explores how Elastic has evolved to serve a broader range of critical data-driven functions, underscoring its enhanced application in real-time search, observability, and security. Highlighting case studies and expert insights, Warren illustrates Elastic’s transformative capabilities in handling complex, large-scale enterprise data challenges. Read more in this article inspired by the Elastic presentation at AI Field Day 5.
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Elastic Is Far More Useful Than Mere Search Chatbots
Demystifying Elastic: From Keyword Search to AI-Powered Insights
In this LinkedIn Pulse article, Jack Poller provides a comprehensive overview of how Elastic has evolved from a straightforward keyword search tool to a sophisticated platform leveraging AI for advanced data insights. He delves into the key features and functionalities that enable Elastic to handle complex data analytical tasks efficiently. This article is an essential read for IT professionals aiming to enhance their data management and analysis strategies using Elastic’s cutting-edge technologies. Read more in this article, inspired by the Elastic presentation at AI Field Day 5.
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Demystifying Elastic: From Keyword Search to AI-Powered Insights
HPE Presents at AI Data Infrastructure Field Day 1
Vuong Pham discusses the insights from the HPE presentation at AI Data Infrastructure Field Day 1. During this presentation, HPE discussed key challenges in the field and showcased their strategies for addressing these through innovative technology and systems integration. Read this LinkedIn Pulse article for more about HPE and AI Data Infrastructure Field Day!
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HPE Presents at AI Data Infrastructure Field Day 1
AI Data Infrastructure Field Days – What We Can Take Away
In this research note, Camberley Bates shares insights from the AI Data Infrastructure Field Day event, highlighting significant takeaways that can transform our approach to managing AI data infrastructure. The discussion focused on innovative solutions and strategies that are shaping the future of AI deployments, stressing the importance of adapting to rapidly evolving technological landscapes. These events serve as a crucial platform for IT professionals to gain knowledge on optimizing infrastructure to effectively support AI functions and applications. This note was written for The Futurum Group following AI Data Infrastructure Field Day 1.
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AI Data Infrastructure Field Days – What We Can Take Away
Infinidat Ramps Up Native Cyber Protection Addressing Escalating Risks to AI Environments
In a move to bolster security in AI environments, Infinidat has enhanced its native cyber protection capabilities in response to the growing cybersecurity threats. This development underscores the company’s commitment to safeguarding data integrity against sophisticated cyber attacks, which are increasingly targeting AI-powered systems. The enhanced security features aim to equip enterprises with robust tools to protect their critical information assets and ensure operational continuity in the rapidly evolving digital landscape. Read more in this Techstrong AI article written by Sulagna Saha following Infinidat’s presentation at AI Data Infrastructure Field Day 1!
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Infinidat Ramps Up Native Cyber Protection Addressing Escalating Risks to AI Environments
Automation Is Progressing, but at a Less-than-Breakneck Speed – A Conversation with Nokia
In a recent conversation featured on Gestalt IT, Sulagna Saha explores the state of automation within the tech industry, focusing on insights from the delegates who attended the Networking Field Day Exclusive event with Nokia. While automation is undoubtedly advancing, the pace is described as steady rather than rapid, reflecting a careful approach to integration and development. This discussion highlights the nuanced progression of automation technology and its implications for the future of network management and efficiency. Read more, and watch the video of this important roundtable discussion!
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Automation Is Progressing, but at a Less-than-Breakneck Speed - A Conversation with Nokia
Can You Deploy Large-Scale AI On-Premises?
Jack Poller’s LinkedIn Pulse article explores the viability and considerations of deploying large-scale AI systems within an on-premises infrastructure. He provides a detailed analysis of the technological, operational, and financial factors involved in the implementation of such systems. Furthermore, Poller outlines potential challenges and solutions, highlighting the importance of solid planning and execution for successful on-premises AI deployments. This article was inspired by the VMware presentation at AI Field Day 5.
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Can You Deploy Large-Scale AI On-Premises?
Refocusing on Hybrid-Cloud at Cloud Field Day 21
At Cloud Field Day 21, there’s a noticeable shift in focus towards hybrid-cloud solutions, reflecting the industry’s recognition of their critical role in a diverse IT environment. Experts and vendors alike will discuss innovative tools and strategies that enhance the efficiency and security of hybrid-cloud architectures. This pivot underscores the continued evolution and prioritization of adaptable, scalable IT infrastructures that can support varied organizational needs. Watch this video as Alastair Cooke introduces Cloud Field Day 21 and the presenters, Qumulo, Platform9, and Cisco.
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Refocusing on Hybrid-Cloud at Cloud Field Day 21
Enfabrica: Accelerating AI GPU Communication
Enfabrica is on the forefront of enhancing AI capabilities through their innovative approach to GPU communication. Their technology significantly accelerates the data transfer between GPUs, a critical aspect for improving the efficiency and performance of artificial intelligence systems. By optimizing the communication pathways, Enfabrica enables more complex and rapid AI computations, pushing the boundaries of what these technologies can achieve. Read more in this article by Jack Poller, who learned about Enfabrica during their AI Field Day 5 presentation.
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Enfabrica: Accelerating AI GPU Communication
VMware Private AI Foundation With NVIDIA Gains Traction Across Key Verticals Within Months of General Availability
In this Techstrong AI article, Sulagna Saha reports on the VMware Private AI Foundation, presented at AI Field Day 5. The solution, developed in collaboration with NVIDIA, has quickly secured significant uptake in several key industries shortly after its launch. This partnership leverages NVIDIA’s cutting-edge AI capabilities within VMware’s infrastructure, aiming to enhance enterprise AI applications with improved efficiency and privacy. The rapid adoption across diverse sectors highlights the platform’s robust performance and the growing demand for advanced AI integrations in private networks.
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