Alastair Cooke, writing for The Futurum Group, discusses the Morpheus Data presentation at Cloud Field Day 20. Morpheus offers a unified management solution that simplifies the complexities of handling multiple cloud platforms. Its comprehensive approach empowers businesses to seamlessly manage applications, orchestrate containers, and automate workflows across diverse cloud environments. This capability significantly enhances operational efficiency, ensuring that organizations can leverage the flexibility of multi-cloud strategies without compromising on performance or security.
Mezmo Data Management, Observability and More
Paul Nashawaty recently caught up with Mezmo at AppDev Field Day, and this DevOps Dialogue offers insight into their data management and observability platform, emphasizing its strength in extracting actionable value from telemetry data. The discussion explores how Mezmo stands out in the crowded market of observability tools by not just collecting data but also by making it comprehensible and useful for businesses. Check out the Mezmo presentation from AppDev Field Day for more detail!
Row-Scale On-Premises Cloud Infrastructure From Oxide Computer
Alastair Cooke at Futurum Research discusses Oxide Computer’s initiative to deliver row-scale, on-premises cloud infrastructure, addressing the growing demand for scalable and manageable IT resources within the enterprise. The article examines how Oxide’s innovative approach aims to combine the convenience and agility of the public cloud with the security and control of on-premises systems. Highlighting a shift in cloud computing, the analysis explores Oxide’s potential to redefine data center operations by offering a comprehensive, customer-centric solution. Read more Cloud Field Day 20 coverage at The Futurum Group!
Google Delivers Titanium Hardware Offload for Performance
In a detailed analysis for Futurum Research, Alastair Cooke discusses Google’s Titanium, a hardware offload technology aimed at enhancing compute performance. The article discusses how Titanium addresses efficiency by offloading tasks from the CPU, thereby boosting processing speeds and reducing latency for demanding workloads. The article also highlights this strategic move by Google as a solution that could redefine performance optimization in data centers, marking a significant advancement in cloud computing capabilities. Look for more Cloud Field Day 20 coverage from Alastair soon!
Everything is the Cloud and The Cloud is Everything
The cloud operating model is everywhere these days, and just about everything is now called cloud. This episode of the Tech Field Day podcast, recorded live at Cloud Field Day 20, includes Stephen Foskett, Jeffrey Powers, Alastair Cooke, and Steve Puluka discussing the true meaning of the term cloud computing.
Google Shares the Scope of Enterprise Cloud at Cloud Field Day
Last week on the Gestalt IT Rundown, Stephen Foskett discussed the Google Cloud presentation at Cloud Field Day, where the company gave an excellent overview of their enterprise cloud offerings. The presentation showcased Google Cloud’s dedication to providing scalable, secure, and smart solutions to meet the complex needs of modern businesses. Watch the entire Google Cloud presentation on YouTube for a deep dive into the many ways enterprise workloads can be run there!
Unlocking AI Potential: Insights Into Google Cloud’s Vertex AI Platform
Dive into the capabilities of Google Cloud’s Vertex AI Platform, a comprehensive environment designed to unlock the full potential of AI for developers and data scientists. This insightful video takes a closer journey into how Vertex AI simplifies the process of building, deploying, and scaling ML models, streamlining the AI lifecycle from concept to production. Watch as Keith Townsend explores the implications of the Google Cloud presentation at Cloud Field Day 20 in this YouTube video.
HPE Aruba Networking Ready to Turbocharge Private 5G
Ron Westfall considers HPE Aruba’s positioning itself to enhance private 5G network solutions, promising to bring high-speed, reliable connectivity to enterprise environments. Aruba’s networking expertise is set to empower businesses with improved performance, better control, and tailored implementations of 5G technology. The insights presented highlight Aruba’s readiness to meet the burgeoning demand for private 5G networks, cementing its role as a catalyst in the enterprise networking transformation. This analyst note from The Futurum Group looks forward to the announcements at HPE Discover.
Juniper Choreographs AI-Native Networking Breakthroughs
Juniper Networks is steering the industry toward AI-native networking solutions, as discussed in a thorough this analyst note by Ron Westfall of The Futurum Group. At Mobility Field Day 11, the company showcased its vision for intelligent networking, integrating AI to enhance performance, simplify operations, and improve user experiences. These breakthroughs signal Juniper’s commitment to spearheading the AI-driven future of networking, cementing its role as an innovator in the space.
Application Modernization Requires Good Security Practices
As application development and modernization moves forward, security has never been more important. This episode of the Tech Field Day podcast introduces AppDev Field Day with a discussion of the importance of DevSecOps featuring Paul Nashawaty, Mitch Ashley, Michael Levan, and Stephen Foskett.
Platform Engineering Is the Revenge of IT Operations
The rise of platform engineering demonstrates how difficult it has been to balance DevOps between developers and operations. This episode of the Tech Field Day podcast features a discussion of platform engineering with Mitch Ashley and Mike Vizard of Techstrong Group and Stephen Foskett and Tom Hollingsworth of Gestalt IT.
Wi-Fi 7 Isn’t Enough For Future Wireless Needs
New technology standards can’t anticipate how users will consume content and applications and revisions to the standards will be adopted to meet their needs. In this episode, Tom Hollingsworth is joined by Ron Westfall, Drew Lentz, and Rocky Gregory as they discuss where Wi-Fi 7 falls short.
Containerization is Required to Modernize Applications at the Edge
Modern applications are widely deployed in the cloud, but they’re coming at the edge as well. This episode of the Tech Field Day podcast features Alastair Cooke and Paul Nashawaty from The Futurum Group, Erik Nordmark from ZEDEDA, and host Stephen Foskett discussing the intersection of application modernization and edge computing.
At AI Field Day, Qlik Shows AI-Based Analysis Added to Its Platform
At AI Field Day, Qlik unveiled a wizard-based AI feature that simplifies the process of leveraging on-premises data for insightful analytics, integrating smoothly with Qlik’s cloud services. This enhancement to their analytics platform aims to democratize AI’s benefits, making advanced data analysis accessible to a broader range of users with varying expertise. Qlik’s initiative reflects a commitment to user-friendly, AI-powered analytics, facilitating deeper insights while streamlining the experience for its customers. Read more in this analyst note for The Futurum Group by Alastair Cooke.
Deciding When to Use Intel Xeon CPUs for AI Inference
At AI Field Day, Intel offered insights into strategic decision-making for AI inference, highlighting scenarios where Intel Xeon CPUs outshine traditional GPU solutions on both on-premises and cloud servers. By evaluating the specific requirements of AI inference workloads, Intel guides users to make informed choices that enhance value while optimizing their existing server infrastructure. This approach emphasizes efficiency and practicality in deploying AI capabilities, ensuring that organizations can navigate the complex landscape of hardware selection for their AI initiatives. Read more in this Futurum Research Analyst Note by Alastair Cooke.
Hammerspace Shows Storage Acceleration for AI Training
At AI Field Day, Hammerspace showcased its innovative storage acceleration solution, demonstrating how Hyperscale NAS can be leveraged to enhance the performance of current scale-out NAS systems, particularly in training large language models (LLM) efficiently. This storage boost not only improves speed but also optimizes resource allocation during the intensive LLM training process. Hammerspace’s advancement offers organizations the opportunity to amplify their AI training capabilities without the need to overhaul their existing storage infrastructure. Read more in this Futurum Research Analyst Note by Alastair Cooke.
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.
Gemma and Building Your Own LLM AI
At AI Field Day 4, Intel invited the Google Cloud AI team to showcase their Gemma large language model (LLM), revealing insights into the advanced infrastructure used for building such models on Google Cloud. The presentation underlined Gemma’s efficiency with fewer parameters for inference, highlighting Google Cloud’s strength in analytics and AI, particularly in managing differing resource needs between model training and application inference phases. Google Cloud’s integration of AI in products was illustrated with Google Duet, an AI-based assistant that aids in software development, exemplifying the potential future where AI handles more coding tasks, freeing up developers for high-level problem-solving and design. Read more in this analyst note for The Futurum Group by Alastair Cooke.
Defeating Data Gravity? – Hammerspace
According to Keith Townsend, Hammerspace presented a compelling argument for a shift in overcoming data gravity by moving data closer to accelerated computing resources at AI Field Day. Their solution, a parallel file system, acts as a bridge between dispersed data sources, offering a unified metadata view that streamlines data preparation for AI tasks. While Hammerspace’s technology appears to enhance user experience, it also requires strategic GPU placement and considerations around data governance and movement across geopolitical boundaries.
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.
