Jack Poller provides an insightful analysis of Oxide’s innovative approach to on-premises computing, which rethinks the traditional infrastructure by integrating cloud-like agility directly within enterprise environments. He highlights how Oxide brings the efficiency and scalability of the cloud into a controllable on-site format, promising enhancements in performance and security. For more insights from Cloud Field Day 24, follow Jack Poller’s continuing coverage on LinkedIn Pulse.
From Chaos to Clarity: HPE’s CloudOps Vision for Hybrid Control
Jack Poller explores HPE’s latest strategy aimed at transforming chaos into clarity by providing enhanced hybrid control through its CloudOps vision. This approach seeks to streamline complex multi-cloud environments, making it easier for businesses to manage and optimize their cloud operations effectively. For further insights from Cloud Field Day 24, follow Jack on LinkedIn!
Beyond the Vault: 1Password’s Strategic Pivot to Extended Access Management
Jack Poller recently discussed 1Password’s expansion beyond its core password management capabilities, highlighting its strategic shift towards Extended Access Management. This evolution aims to provide more comprehensive security solutions that address various access control needs in an increasingly complex digital environment. For further coverage of Security Field Day 14, follow Jack Poller’s coverage on Security Boulevard.
Why Enterprise Storage Is Still Stuck in 2010—And How Pure Storage Plans to Fix It
In this article, Jack Poller examines the reasons behind the stagnation of enterprise storage technology, noting that it has barely evolved since 2010. He discusses Pure Storage’s innovative approach to revamping enterprise storage solutions with their focus on simplicity, reliability, and efficiency. You can find more coverage of Cloud Field Day 24 on LinkedIn Pulse.
Jack Poller Discusses Fortinet at Cloud Field Day 24
Jack Poller and Jon Hildebrand discuss of Fortinet’s offerings during Cloud Field Day 24, highlighting the company’s innovative approaches in cloud security. He examined the specifics of fortinet’s technology and how it aligns with current enterprise security needs. More coverage from Cloud Field Day can be found in this video series by Jon Hildebrand!
The Hidden Complexity of Edge AI—And the Platform Built to Tame It
Jack Poller writes about ZEDEDA’s platform, that simplifies edge AI complexity by bringing cloud-style orchestration to distributed environments. It supports various workloads, automates lifecycle management, and enforces policies across heterogeneous devices, enabling enterprises to operationalize AI at the edge. Read more reactions to our recent Tech Field Day Showcase with ZEDEDA at Techstrong AI!
When “It’s Always DNS” Becomes Your Security Advantage
In his latest analysis, Jack Poller examines how the common adage “It’s Always DNS” can be turned into a strategic advantage for cybersecurity efforts. He discusses how DNS, typically a source of network issues, can also serve as a critical tool in identifying and mitigating security threats. For further insights about Security Field Day 14 and Infoblox, watch Security Boulevard!
Enhancing Security in the Age of AI and Agents
The Techstrong Gang explores the increasing complexities of enterprise security in an era dominated by advanced artificial intelligence and automated agents. They discuss the need for evolving security strategies to safeguard data and infrastructure against sophisticated threats enabled by these technologies. During the conversation, Stephen Foskett compares the approach of NetApp as seen at the recent INSIGHT event, for data protection. The topics presented at Security Field Day are also covered, including SquareX, as well as the recent Microsoft Security event.
From Prototype to Production: Solving the Enterprise AI Deployment Problem
Organizations face challenges in scaling AI due to organizational friction, data security concerns, undefined strategic foundations, and cost and reliability issues. HPE’s Private Cloud for AI (PCAI) addresses these challenges by providing a co-engineered, turnkey solution that keeps data under organizational control, accelerates development, and offers predictable costs. PCAI combines HPE hardware, Nvidia GPUs, and software, including HPE’s AI Essentials and Nvidia’s AI software stack, to provide a comprehensive platform for AI deployment. Read more AI Infrastructure Field Day coverage by Jack Poller at LinkedIn!
The Endpoint Has Moved to the Browser — Your Security Tools Haven’t
Jack Poller discusses the shift of endpoint computing to the browser in a recent article, highlighting how traditional security tools are lagging behind in adapting to this change. He explains that as applications and user data migrate from desktops to web platforms, the paradigm for security must evolve to address new vulnerabilities and threats. This was the topic of the SquareX presentation at Security Field Day. For more coverage on this topic, follow Jack Poller on LinkedIn.
Why Your GPUs Are Waiting: The Data Speed Problem in AI Workloads
In this insightful article by Jack Poller, the focus is on the frequently overlooked issue of data speed bottlenecks that significantly hinder GPU performance in AI tasks. Poller explains how the inadequate pace of data delivery to GPUs can lead to underutilization, slowing down the process despite the rapid computational abilities of GPUs. Explore further coverage of Hammerspace at AI Infrastructure Field Day on LinkedIn!
How CTERA Plans to Fix What’s Breaking Enterprise AI
CTERA is tackling the complexities that hinder enterprise AI by enhancing data management and storage solutions, ensuring robust and scalable infrastructure. By focusing on fixing bottlenecks related to data accessibility and management, CTERA aims to streamline operations and support advanced AI deployments. For more coverage of CTERA’s initiatives, follow updates by Jack Poller and others on Techstrong AI.
The AI Infrastructure Paradox: When Buying GPUs Is Just the Beginning
Rafay is an AI cloud enabler that automates the AI stack, simplifying infrastructure orchestration and reducing costs for large enterprises. It offers multi-tenancy, standardization, and application-centric delivery, empowering organizations to operationalize AI without extensive internal development. Watch for more coverage of AI Infrastructure Field Day on LinkedIn!
How Broadcom’s Three-Chip Strategy Tackles AI’s Biggest Networking Bottleneck
Broadcom’s innovative three-chip strategy addresses significant networking bottlenecks in artificial intelligence (AI) by optimizing data movement efficiency across different network layers. Utilizing a combination of its Tomahawk, Jericho, and Ramon chips, the strategy enhances compute and storage connectivity, ensuring faster and more reliable data handling essential for AI applications. Find more coverage of AI Infrastructure Field Day by Jack Poller, watch Techstrong AI!
The Evolution of Cloud at Cloud Field Day 24
Cloud Field Day 24 is back in San Francisco on October 22nd and 23rd, bringing the brightest minds in enterprise cloud together for two days of innovation, insight, and live demos.
From GPU Gold Rush to Revenue Reality: How Mirantis k0rdent Transforms AI Infrastructure Dreams into Dollars
In the fast-evolving world of artificial intelligence, Mirantis is making waves with its k0rdent platform, revolutionizing how businesses capitalize on GPU-intensive workloads. This transformative tool not only optimizes AI infrastructure but also significantly enhances the operational efficiency and revenue streams of enterprises engaged in AI and machine learning endeavors. Additional insights and coverage on this topic have been provided by Jack Poller on Techstrong AI.
Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3
Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies. The event […]
VMware Cracks the Code: VCF 9.0 Delivers Enterprise Security Without Operational Sacrifice
VMware has introduced VCF 9.0, which significantly enhances enterprise security while maintaining operational efficiency. This new release integrates advanced security measures directly into its operational framework, ensuring that robust security is a seamless aspect of business functionality. For more coverage of the innovations in VCF 9.0, you can follow updates and analyses by Jack Poller on Security Boulevard.
The AI Memory Crisis (And How One Company Thinks They’ve Solved It)
As enterprises increasingly deploy AI applications, they face a significant bottleneck due to the limitations of conventional memory architectures. In response, Phison claims to have developed a solution that addresses this critical “AI Memory Crisis” by enhancing memory efficiency and scalability. Discover additional insights about AI Infrastructure Field Day 2 in our coverage on LinkedIn Pulse featuring Jack Poller.
Datacenter Networking Needs AIOps with HPE Juniper Networks
Enterprise networking is too large and complex, we need AI Operations. This spotlight episode of the Tech Field Day podcast features Bob Friday and Ben Baker, both from Juniper Networks, with Jack Poller and Alastair Cooke. Modern enterprise networks reach far beyond the well-controlled walls of data centres and corporate buildings. The rate of change enabled by public cloud platforms makes an enterprise network highly dynamic. Access to cloud and on-premises applications over the Internet means your users are dependent on many network elements outside of your control. Bob founded Mist Networks to help businesses manage the complexity of user-to-cloud networking. Juniper Networks acquired Mist, and now HPE has acquired Juniper. I don’t think he is alone in seeing the necessity of using AI to manage complex and critical networks. Yet new tools always bring new challenges; the cost of AI infrastructure may be a concern, and Generative AI has challenges with hallucinations. The security and governance practices around AI tools are still developing, and the non-deterministic nature of AI needs careful consideration.