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.
Forward Networks – The Tale of an Aptly Named Company
In Ryan Lambert’s LinkedIn Pulse article he delves into the capabilities of Forward Networks, a company he says lives up to its name. The company creates a Digital Twin of network data, encompassing router configurations, route tables, and firewall policies. Lambert emphasizes the practicality of this approach, enabling users to gain insights into network behavior, potential vulnerabilities, and operational breakdowns.
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.
“AI Assist” Is Better Than “AI Do It for Me”
John Herbert feels cautious towards AI, particularly when entrusting it with network control, advocating for human oversight to validate AI-generated solutions. But he appreciates Forward Networks’ AI Assist feature for creating natural language queries that help users engage with the company’s Network Query Engine (NQE), while retaining the option for manual evaluation and tweaking. Furthermore, Herbert finds value in the Summary Assist tool, which provides natural language explanations of NQE queries, enhancing user understanding and trust in the AI’s output.
From Server Farm to Table: How Nature Fresh Uses AI and CPUs to Improve Crop Yields
At AI Field Day 4, Keith Bradley from Nature Fresh Farms highlighted the practical application of AI in agriculture, revealing how the company utilizes AI models and data from IoT devices to boost crop yields significantly. As Jim Davis writes, Nature Fresh Farms’ unique approach relies heavily on edge computing with Intel Xeon CPUs for AI inferencing, debunking common misconceptions that AI always requires cloud connectivity or GPU resources. Bradley’s presentation emphasized the critical importance of IT system reliability in the agricultural sector, where even brief periods of downtime can result in substantial losses.
Qlik Presents About AI on AIFD4
At AI Field Day, Qlik unveiled their comprehensive AI strategy, focusing on enabling customers to tackle the complexity and scale of AI integration into their operations with solutions like predictive analytics, AutoML, and their 170K-strong model portfolio. With initiatives like Qlik Staige, the company facilitates the use of AI for those new to the field, using established algorithms and bringing structured and unstructured data together for added value. Read more about the Qlik presentation in this LinkedIn Pulse article by Gina Rosenthal!
VAST Data Operationalizing AI
At AI Field Day 4, Keith Townsend engaged with VAST Data’s John Mao and Neeloy Bhattacharyya to discuss the company’s innovative architecture that separates the persistent data layer from stateless logic, optimizing access patterns and improving data preparation efficiency for AI applications. Gina Rosenthal highlights their global namespace approach and the unique “VAST DataBase” system, they are streamlining data availability and scalability across the pipeline.
Google Cloud at Intel Day @ #AIFD4
At AI Field Day, Google Cloud’s Brandon Royal presented insights into AI platforms and infrastructure, emphasizing the shift from the internet to mobile and AI. He introduced Gemini, Google’s multi-modal model, and unveiled Gemma, a family of lightweight models. Royal discussed safety measures and highlighted GKE’s role in AI, covering CPUs, GPUs, and TPUs. A demo showcased Gemma on GKE supporting 8K tokens. Ameer Abbas, Senior Product Manager at Google Cloud, focused on Developer and Operational Productivity with Duet AI, demonstrating code development and transformation capabilities for enterprise builders and developers. Read more in this LinkedIn Pulse article by Gina Rosenthal.
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.
Storage for AI: Data Professional Overview
The use of the term ‘data management’ is subject to varying interpretations between data professionals and storage providers, leading to some confusion when discussing the scope of services. Solidigm highlights the unique storage requirements for AI, as Karen Lopez wrote, emphasizing that AI servers need significantly more capacity and have specific data demands across different stages: Data ingest, Data prep, Training, Checkpointing, and Inference. As data professionals, our understanding of these distinct data workloads enables us to contribute valuably to discussions on data architecture, especially in collaboration with companies like Supermicro, who integrate these storage solutions into their AI server offerings.
Private AI Foundation With NVIDIA: Data Professional Overview
VMware by Broadcom, in partnership with NVIDIA, has introduced the Private AI Foundation, focusing on enhancing in-house data management and AI processing through privacy, choice, cost management, performance optimization, and compliance agility. As highlighted by Karen Lopez, data quality and protection are essential for accurate AI results, prompting data professionals to stay alert to components like vector databases for fast, complex data retrieval. Key takeaways emphasize the importance of not overlooking data fundamentals amidst AI advancements, reminding professionals that AI cannot replace the need for robust data management.
AI Field Day 4 Kicks Off With VMware’s Private AI
Gina Rosenthal is delivering real-time insights on each AI Field Day presentation, starting with her take on VMware’s advancements in AI. In their presentation, VMware highlighted the ease of deploying AI applications on existing infrastructure with a focus on robust security and privacy, leveraging their Private AI and partnerships with industry leaders like NVIDIA. VMware’s session delved into how their solutions, geared towards the generative AI market, are enabling customers to significantly improve operational tasks such as documentation search, boasting a 500% effectiveness increase.
Intel Day Kicks Off at AI Field Day 4
As AI Field Day 4 continues into day two, Gina Rosenthal turns her attention to the capabilities of Intel Xeon CPUs in AI, particularly in inference workflows, as presented by Ro Shah, AI Product Director at Intel. Shah delineated the growing trend towards generative AI with large models, while recognizing that enterprises are more inclined to adopt smaller language models, positioning Xeon as a suitable solution for these scenarios. Intel’s commitment to serving the AI market extends beyond hardware, showcasing their strategy of enabling AI across the board through developer support, tool extensions, and a strong partnership ecosystem.
Why Storage Matters for AI – Solidigm
During AI Field Day 4, Solidigm, alongside partner Supermicro, spotlighted the pivotal role of storage in AI, as discussed by Gina Rosenthal. Ace Stryker of Solidigm emphasized the need to shift from HDDs to solid-state drives, aligning with the trends of chip spending growth and the demand for higher storage in AI servers. Supermicro’s Wendell Wenjen and Paul McLeod further discussed the integration with WEKA and the importance of storage in AIOps, indicating that a substantial portion of Supermicro’s revenue is derived from AI-related ventures.
Cisco Live EMEA and Tech Field Day Extra Embodies “Better Together”
Attending Cisco Live EMEA and Tech Field Day Extra as a single mother on maternity leave, Zoe Rose highlighted the significance of community in shaping careers while juggling the demands of parenthood. Her experience underscores not only the flexibility and inclusion of these industry events but also the support structures that make participation feasible for parents. Rose’s story is an inspiring testament to the power of community and organizational support in fostering professional growth, even amidst the complexities of personal life transitions.
Meraki Switching 17 – Encapsulating ‘Better Together’ by Providing Context
Meraki’s upcoming MS17 features, highlighted at Cisco Live EMEA by Brennan Martin and Alex Burger, are tailored to reduce burdens on IT teams through efficient data aggregation, contextualized insights, and trend visualization. As Zoe Rose discusses, the update is set to streamline operations by introducing dynamic profiles for switchports, enhanced packet capture analysis, and comprehensive device health dashboards, with an API to further customize thresholds and alerts. While a ‘single pane of glass’ for network management remains a complex goal, these changes reflect a product evolution responsive to customer feedback and aimed at alleviating workload, underscoring Cisco’s commitment to user-centric innovation.
Runaway K8 Clusters, Meet Your Match: Platform9’s Elastic Machine Pool (EMP)
Although Jim Czuprynski prefers monolithic architectures like Oracle’s Exadata, as an experienced Oracle DBA he recognizes the common issue of memory over-allocation in containerized environments, driven by the containerization trend. Platform9’s EMP toolset was presented as a solution which introduces an alternative virtualization layer, streamlining resource usage and potentially curbing the over-provisioning habits of Kubernetes engineers. With a focus on enhanced performance and cost efficiency, EMP’s potential to optimize Kubernetes configurations was highlighted at Cloud Field Day, a novel approach eagerly eyed by those in cloud resource management.
Winning the Private (Cloud) War: SoftIron’s Hyperscaled Solutions
Jim Czuprynski reacts to SoftIron’s presentation at Cloud Field Day. They presented a private cloud vision that readily adapts to the challenges of interconnectivity, scalability, and disaster resilience, necessities underscored by recent calamitous events. SoftIron’s tailored solutions, capable of delivering up to 16PB clusters, show their commitment to meeting the elastic computing needs of diverse, growth-oriented IT infrastructures. Read more in this LinkedIn Pulse article!
Cloud to Ground Deployment Magic
Dell Technologies introduced the concept of “Cloud to ground” at Cloud Field Day 19, reflecting the growing interest in cloud repatriation and the desire to bring cloud-like operations to on-premises datacenters. Their APEX Cloud Platform aims to simplify this transition, providing a management solution that integrates with existing tools like Azure console and OpenShift Advanced Cluster Management to automate and manage Cloud OS deployments on Dell hardware. While this innovation aids in the automation and management of on-prem hardware, Ned Bellavance notes that it’s not a full public cloud experience nor a private or multicloud management plane, but rather a significant step towards simplifying hybrid cloud environments for Dell users.