VMware Edge Cloud Orchestrator: VMware For The Very Small Masses

Jim Jones’s recent article on VMware Edge Cloud Orchestrator details how VMware is extending its reach to smaller enterprise environments through its new orchestrator tool. This solution aims to simplify the deployment and management of edge computing resources, facilitating efficient operations even in limited resource settings. Jim highlights the potential of VMware Edge Cloud Orchestrator to democratize advanced IT infrastructures for businesses of all sizes, fostering more inclusive growth and innovation in the tech landscape. Watch the VMware presentation at Edge Field Day 3 for more details!


VMware by Broadcom Builds Software-Defined Edge for Manufacturing Facilities

Sulagna Saha explores how VMware, a Broadcom company, is enhancing edge computing capabilities for manufacturing facilities. The piece discusses the development of a software-defined edge framework designed to streamline operations and improve efficiency on the production floor. It highlights VMware’s strategic approach to integrating advanced technologies to meet the specific needs of modern manufacturing processes. Read more in this Gestalt IT article inspired by the VMware presentation at Edge Field Day 3.


VMware: Managing the Software Defined Edge

In this LinkedIn Pulse article, Ivan McPhee explores VMware’s strategies for managing the software-defined edge, emphasizing the evolution of edge computing and its increasing importance in IT infrastructure. He discusses VMware’s approach to streamlining edge operations, including advancements in automation and orchestration, which are crucial for enhancing performance and security at the edge. McPhee also highlights VMware’s collaboration with industry partners to expand their edge solutions, thereby enabling more efficient data processing and management across diverse environments. This article was inspired by VMware’s presentation at Edge Field Day 3.


VMware Drives Pull Optimized Solutions for the Edge

Allyson Klein, in her latest piece, delves into how VMware is catalyzing the deployment of optimized solutions at the network edge, enhancing processing capabilities closer to data sources. VMware’s approach involves leveraging new architectural innovations and partnerships to fortify edge computing solutions, ensuring they’re efficient and tailored to meet the specific needs of various industries. This strategic move represents a significant step towards reducing latency and improving the reliability and performance of applications across distributed environments. Read more in this article, inspired by VMware’s presentation at Edge Field Day 3.


VMware Edge Compute Stack at the Industrial Edge

Jim Davis writes about the transformative capabilities of VMware’s Edge Compute Stack, deployed at the industrial edge, elevating operational efficiency and data processing speed. This innovative solution is tailored for real-time decision-making in industrial environments, ensuring seamless integration and robust performance. Engage with the VMware Edge Compute Stack to enhance the reliability and agility of industrial operations, enabling smarter, more autonomous systems. Read more in this LinkedIn Pulse article inspired by the VMware presentation at Edge Field Day 3.


GitOps at the VMware Software Defined Edge

Alastair Cooke highlights the integration of GitOps practices at VMware’s Software Defined Edge, focusing on enhancing operational efficiency and deployability. By leveraging GitOps, VMware aims to streamline the management of edge computing resources, ensuring more consistent, secure, and automated deployments. The approach underscores the company’s commitment to adopting modern development practices to optimize and secure edge computing environments. Read more in this LinkedIn Pulse article by Alastair Cooke following VMware’s presentation at AI Field Day 5.


Techstrong Gang – September 24, 2024

In a recent appearance on Techstrong Gang, our own Stephen Foskett discussed the latest developments in edge solutions following Edge Field Day. The event featured VMware, Avassa, Tsecond, Zededa, and OnLogic showcasing their innovations in edge computing. VMware’s new platform, Avassa’s orchestration, Tsecond’s rugged storage, Zededa’s scalability, and OnLogic’s edge servers demonstrated the diversity of edge solutions. For more insights, check out Stephen Foskett discussing the event on Techstrong Gang with Alan Shimel, Mitch Ashley, and the rest of the gang!


Can You Gain Advantage With Software-defined Edge?

In this LinkedIn Pulse article, Jack Poller explores the strategic benefits of adopting software-defined edge computing as presented by VMware at Edge Field Day 3. He emphasizes how this approach enhances performance by reducing latency and allowing for more efficient data processing closer to the source of data generation. Poller also discusses the potential for software-defined edge to provide businesses with a competitive edge by improving responsiveness and enabling more sophisticated data-driven decision-making.


Taking Technology to the Edge at Edge Field Day 3

Stephen Foskett announces Edge Field Day 3, set for September 18-19, focusing on the critical advancements in edge computing across sectors, with insights from VMware by Broadcom, Avassa, and Tsecond on networking, data migration, and AI. ZEDEDA and OnLogic will provide expertise on edge orchestration and computing solutions, enhancing practical applications in challenging environments. This event will be broadcast live, promoting interactive participation and dialogue on technological advancements in edge computing.


AIFD5 Recap

In this LinkedIn video, Mitch Ashley discussed how major tech vendors like VMware and Elastic are incorporating AI, ML, and GenAI into their business strategies. He highlighted the unique approaches these companies take in integrating advanced technologies into their operational frameworks and products. Ashley’s analysis underscores the rapid pace of technological innovation fueled by advancements in artificial intelligence.


VMware Private AI at AI Field Day

At AI Field Day, VMware focused on private AI solutions, delivering a secure, controlled deployment environments for AI models. VMware’s infrastructure and cloud technologies are leveraged to ensure compliance and security while enabling businesses to capitalize on AI advancements. The presentation underlined the tailored benefits and potential industry-specific solutions offered by VMware’s private AI initiatives. Read more in this LinkedIn Pulse article by Alastair Cooke.


AIFD5 Preview

Justin Warren shares his thoughts on this week’s AI Field Day event, highlighting the presentations by Elastic and VMware. Watch for more of Justin’s posts on PivotNine and LinkedIn.


The Shifting Focus of AI at AI Field Day 5

AI Field Day 5 is coming on September 11-13, reflecting the shift in enterprise AI from large-scale models to practical applications, including vector databases and agentic AI. The event will gather industry leaders like Cisco, VMware, Keysight, and Arista to explore real-world applications, AI-ready infrastructures, and private AI solutions. Attendees will also hear from companies like Integrail, Elastic, and Enfabrica to learn about next-generation AI capabilities. Tune in live on LinkedIn or Techstrong TV!


Running Enterprise Industry Specific Private AI with Intel, and VMware by Broadcom

Discover the impact of merging AI with industry-specific solutions in a recent exploration by Broadcom, where they teamed up with Intel and VMware to enhance enterprise operations. This initiative focuses on utilizing private AI infrastructure to drive efficiency and innovation, addressing unique industry challenges while maintaining data privacy and security. Learn more in this Gestalt IT article by Liselotte Foverskov, sponsored by Intel and focused on their presentation at AI Field Day 4.


Building a Future-Proof AI Foundation With VMware Private AI

VMware’s presentation on Private AI at AI Field Day emphasized their forward-looking approach in creating a scalable and secure foundation for enterprises investing in artificial intelligence. Their platform addresses the challenges of AI deployment and management, optimizing compute resources and providing robust data processing capabilities. With VMware’s Private AI, businesses are empowered to harness the full potential of AI applications while ensuring compliance and protecting sensitive data. Read more in this Gestalt IT article by Sulagna Saha!


VMware Private AI at AI Field Day

VMware’s presentation with Intel at AI Field Day centered on optimizing on-premises AI workloads, highlighting the capability of Intel Sapphire Rapids CPUs with Advanced Matrix Extensions (AMX) to efficiently perform large language model (LLM) AI inference, traditionally a task for GPUs. Demonstrating that AI can be resource-effective on CPUs, the discussion covered the technical prerequisites for harnessing AMX in vSphere environments and the ongoing integration of these accelerators into popular AI frameworks. With CPUs increasingly capable of handling AI tasks through built-in matrix math acceleration, VMware showcases a sustainable, cost-effective approach, potentially reshaping the hardware strategies for mixed workload servers. Read more in this analyst note for The Futurum Group by Alastair Cooke.


Intel Xeon CPUs on VMware vSphere – A Powerful and Cost-Effective Twosome for AI/ML Workloads

With AI ingrained in our daily routines, Forward Networks delivered a strategic approach at Networking Field Day, demonstrating how even complex networking data can be made manageable through AI integration. Their platform uses a data-first principle, enabling AI to interact effectively with a digital twin of network infrastructure, simplifying tasks for network engineers. The innovative AI Assistant within Forward Networks’ ecosystem assists in constructing queries for the Network Query Engine, fostering trust through verifiable, human-readable outputs, and providing a gateway for more intuitive network management. Read more in this article by Sulagna Saha on Gestalt IT.


Insights From the AI Field Day: A Futurum Group Overview

In this LinkedIn Pulse article, Paul Nashawaty of The Futurum Group summarizes all of the AI Field Day presentations, highlighting VMware’s deep dive into Private AI in collaboration with industry giants like NVIDIA and IBM, and Intel’s focus on deploying AI inference models with Xeon CPUs across diverse environments. Next-generation AI-infused storage solutions from Solidigm and SuperMicro underscored the critical role of optimized storage in AI, while Vast Data focused on addressing the growing data demands of AI and HPC workloads. Google Cloud’s session on AI platforms and infrastructures showcased innovative approaches with Kubernetes at the core, paving the way for accessible and powerful AI development and deployment.


Transforming Enterprise AI: A Deep Dive Into VMware’s Private AI by Broadcom

At AI Field Day 4, VMware demonstrated a significant shift towards Private AI, emphasizing the need for balance between AI innovation and stringent data privacy in enterprise environments. As Ken Collins writes, the introduction of VMware’s Private AI Foundation showcases an ecosystem developed for flexibility, enabling companies to bring AI closer to their data across different environments. As the enterprise AI landscape evolves, VMware’s strategic partnership with NVIDIA and emphasis on internal AI applications position the company as a key player in an era where data privacy, choice, and performance are paramount.


VMware by Broadcom Presents Private AI With Intel at AI Field Day 4

During AI Field Day 4, VMware stepped up to showcase how Intel AMX CPUs can be leveraged for Large Language Models (LLM) on vSphere, presenting a CPU-centric approach to AI tasks commonly handled by GPUs. As discussed by Gina Rosenthal, Earl Ruby of Broadcom (VCF) demonstrated the potential of Intel’s AMX technology in both older Ice Lake and newer Sapphire Rapids systems, achieving model fine-tuning and inference without the use of GPUs. This approach champions using CPUs for AI when feasible, reserving GPU use for scenarios demanding lower latency, and highlights the compatibility requirements for effectively implementing AI with Intel’s hardware in a vSphere environment.