SHEL Flow Overview - AMD's Software Hardware Exchange Loop (SHEL) flow facilitates hardware and software configuration data exchange among open-source and proprietary tools [2][3] - SHEL decouples hardware and software, ensuring synchronization across components like hardware, firmware, software, and operating systems [4] - SHEL translates AMD proprietary XSA into open-source hardware descriptions, allowing integration into existing processes [5] - SHEL enables industry standards like Yocto Project, Xen, OpenAMP, and Zephyr [6] Technical Implementation - The process starts with an XSA file from an AMD Vivado project, extracting the system device tree using SDTGen [6] - SDTGen translates proprietary output from AMD Vivado Design Suite into a stable, open-source format [7] - Gen-machine-conf processes device tree data into Linux build and configuration information within a Yocto Project environment [8] - A custom Linux OS is created based on the system device tree, using a prebuilt template BSP YAML file for VEK385 [21] - Bitbake recipes are run inside the Yocto Project to generate final products, including a boot bin and EDF Linux SD card image [28] Customization and Integration - Users can integrate AMD tools into their existing processes by using open-source hardware descriptions [5] - Customizations can be made to the OS by modifying the local conf file [25] - The gen-machine-conf command with a template parameter of the edited YAML file generates custom Linux build and configuration information [24]

Overview of Yocto Project - Yocto Project is an open-source initiative providing templates, tools, and methods for building custom Linux-based systems for embedded products [1] - It supports major hardware architectures like x86, Arm, and RISC-V, offering flexibility for various embedded platforms [7] - The project is not an embedded Linux distribution but helps create one tailored to specific requirements [2] Key Components and Features - The core is the OpenEmbedded build system, including OpenEmbedded-Core and BitBake, the build engine [3] - Poky serves as a reference embedded Linux configuration for testing [3] - It features an extensive testing infrastructure and integrated tools for security analysis, license compliance, and SBoM support [4] - Yocto Project enables developers to create tailored Linux distributions customized to meet specific system requirements [6] Industry Adoption and Support - Yocto Project is widely adopted in medical, automotive, and industrial sectors, providing reliable solutions for embedded systems [7] - Major tech companies actively contribute to its development, ensuring continuous innovation and long-term improvements [7] - AMD is a Platinum Partner, contributing to the development and maintenance of tools for creating custom Linux distributions for embedded and IoT devices [9] Customization and Flexibility - The build system includes recipes and layers that can be modified to create a custom embedded Linux system [5] - Yocto Project offers full control over the build, providing flexibility, scalability, and long-term maintainability [14] - It allows developers to build highly optimized Linux distributions tailored to specific hardware and requirements [14] Build Process and Workflow - BitBake automates the process of creating a working Linux OS by configuring local user information, software, layers, and distribution [17][18][19] - The workflow involves configuring key areas, applying patches, and performing sanity checks to generate a bootable Linux system [18][19][20] - The build process also creates an application developer SDK, including a cross-architecture compiler and analytical tools [21]

Software Development on AMD Versal SoCs - AMD Embedded Development Framework (EDF) SDK facilitates software application development and deployment targeting AMD Versal adaptive SoCs [1] - The SDK supports cross-development on an x86 host, enabling application and kernel development without direct board access [1] - The SDK can accelerate build tasks compared to on-target building, but its content is fixed, requiring recreation from EDF for updates [1] - On-target development allows package installation from the package feed, offering flexibility [1] - The process involves installing the SDK, cross-compiling applications for Arm architecture, and deploying them to the Versal AI Edge Series Gen 2 (VEK385) evaluation board [4] Kernel Module Development - Kernel modules can be developed and compiled on a host PC and deployed to a Versal evaluation board [1] - Preparing the kernel involves setting the kernel source directory environment variable and creating a unique identifier for the kernel in use [1] - The generated kernel module file can be copied into the kernel module directory of the active kernel on the evaluation board [2] Emulation with QEMU - The SDK provides QEMU scripts for full system emulation of the VEK385 board [2] - Booting QEMU requires the same boot artifacts and disk image used to boot on hardware [2] - Applications can be deployed to the emulated Versal system using QEMU, mirroring on-hardware execution [4]

Ready to unlock the full potential of AMD FPGAs, and adaptive SoCs. Your migration journey starts here. Explore the AMD Vivado Design Suite.Project and non-project modes, TCL scripting, and powerful IP integration. Learn about I/O planning, clocking strategies, and PCB design best practices tailored for AMD architectures. Navigate processor system migration with ease, from processing system to programmable logic connections to boot modes and platform management.Simulate, verify, and debug with AMD integrate ...

Embedded x86 processing is at the heart of industrial PCs, networking and storage, healthcare imaging, retail kiosks, and so much more. You might not always see them, but these systems are everywhere. But what does it really take to design technologies for such demanding conditions, whether on a factory floor that never sleeps, a networking switch moving terabytes of data each second, or medical imaging systems that needs both speed and accuracy.Embedded applications are diverse, and the one thing our embed ...

Supercomputing Advancements - Oak Ridge National Lab (ORNL) emphasizes its long history of major discoveries facilitated by supercomputing, leading to interesting science advancements [1] - The OLCF's Frontier, the nation's first exascale supercomputer, solves problems 100 to 1,000 times faster than before, enabling the pursuit of multiple problems simultaneously [2][3] - Discovery represents the next evolution, converging high-performance computing, quantum computing, and AI, integrating quantum into high-performance computing architectures [4] - Discovery will set a new standard for sovereign AI and leadership computing, improving upon Frontier in almost every way [5] Technology and Partnerships - Discovery will feature HPE's new GX platform and AMD's newest GPU, built in close collaboration with HPE and AMD [6][7][11] - Lessons learned from Frontier will directly translate to Discovery, making it a better machine [7] Applications and Impact - Exascale computing enables flight-scale simulations, addressing turbulent flow fields in GE engines, impacting approximately 1 million people flying on GE engines [8][9] - AI streamlines processes in the nuclear power space, enhancing the design, construction, and operation of nuclear power plants [9][10] - The combination of nuclear energy and AI has tremendous power to create good for the world [10] - Discovery increases productivity and contributes to U S competitiveness through leadership in AI and computing [11] Future Vision - The ultimate goal is to create digital twins of humans for personalized medicine, testing treatments and life choices in real-time [7][8] - Discovery is a scientific instrument that will enable faster, farther, and deeper insights than any previous machine [12]

Core Technology & Solution - The company transforms video into actionable operational insights by leveraging camera feeds and point-of-sales data, offering over 100 pre-built templates [1] - The company provides solutions to make any camera smarter, utilizing edge devices manufactured by Supermicro, which bring data center server power to retail locations and warehouses with AI acceleration [2] - The company emphasizes the use of physical AI or multimodal AI, specifically computer vision, to address retail challenges and improve insights by combining video data with point-of-sales information [3] Retail Applications & Benefits - In drive-through scenarios, the company's solution analyzes video to track customer journeys, identify bottlenecks, and integrate point-of-sales data to understand wait times in the context of order size [4][5] - The company's technology enhances order accuracy in the food sector by comparing video data with order details before fulfillment [5] - The company's solution aids in loss prevention by using vision context to verify rebates and fund transactions, reducing exceptions [5][6] Edge Computing & Deployment - The company offers readily available solutions that can be deployed through system integrators, emphasizing edge processing for computer vision use cases due to compliance (GDPR, California regulations) and bandwidth concerns [7][8] - Retailers seek complete solutions that offer a return on investment (ROI) and a favorable total cost of ownership (TCO) when investing in technologies like this [9] Future Trends & Flexibility - The company highlights the importance of flexible platforms for physical and multimodal AI that enable experimentation and efficiency improvements through low-code approaches [10]

AI & Retail Industry Focus - AI agents are the next level of AI, bringing outcomes to retail environments, where operational efficiency is key due to slim margins and budgets [2] - Retailers need to implement AI but often don't know where to start; solutions like Wobot offer easy accessibility [3][4] - The industry emphasizes speed of service and frictionless online-to-offline experiences, making checkout experience optimization a high-ROI starting point [6] Wobot's Solution & Technology - Wobot's video agents on the edge minimize bandwidth throughput while leveraging existing infrastructure to deliver outcomes in retail [3] - Wobot offers 100 automated out-of-the-box use cases, turning existing infrastructure into business intelligence insights [5][6] - Wobot enables integration with other systems, correlating visual data with transactional data for multimodal analysis [7][8] - Wobot combines data sets like QoS transaction level data to understand customer behavior and its impact on sales [8] - Wobot provides trend-level and predictive analytics, enabling retailers to make informed decisions [9] - Wobot's AI allows a human-centric view, freeing humans from base-level tasks to focus on high-impact work [9]

Retail Industry Trends - Retailers face increasing cost pressures and need to maximize value from their infrastructure [2][3] - Store modernization is a significant trend, with retailers seeking single infrastructure solutions for agile feature releases and fleet-level management [6] - Retailers are consolidating physical hardware and applications in stores to achieve more with less [7] - The "store of the future" concept is accelerating due to advancements in AI hardware [8] StorMagic's Solution - StorMagic focuses on the edge retail environment, providing solutions for those with limited budgets and IT staff [4] - StorMagic offers simple licensing based on per server and per storage, avoiding complexities related to cores or CPUs [5] - StorMagic's solution is designed to future-proof businesses, with no software cost impact from running more AI-driven applications [5] - StorMagic's hyperconverged infrastructure solution (SVHCI) is a rip and replace for VMware, reducing lifetime TCO [10][11] Collaboration and Technology - AMD hardware is breaking ground in performance and sustainability, influencing retailers' technology adoption [9] - StorMagic collaborates with HPE to provide integrated solutions on AMD platforms, reducing friction in the market [9][10] - The integrated technology stack of StorMagic, AMD, and HPE offers performative solutions for retailers [9]

Retail IT Challenges & Solutions - Retailers face challenges including thin margins, lack of on-site IT staff, and the critical need for infrastructure to sustain operations [1] - Downtime in larger retailers can cost $9,000 per minute, highlighting the importance of uptime [2] - AMD, HPE, and StorMagic offer solutions focused on efficiency, sustainability, and ease of deployment for retail environments [3][4][8] Technology & Product Highlights - The AMD EPYC processor and HPE DL145 server are designed for sustainability and cost-effectiveness without sacrificing performance [3] - StorMagic's software, combined with efficient hardware, reduces total cost of ownership and allows for scalable growth [4] - HPE DL145 Gen11 ProLiant server with integrated StorMagic is designed for edge deployment, with acoustics suitable for store floors (under 45 dBA) and filtering capabilities for challenging environments [7][8] - AMD CPUs offer high core density (up to 192 cores) and a node-based licensing model, simplifying budgeting and allowing for flexible hardware upgrades [5][6] - AMD 8004 series CPUs are energy-efficient, offering leadership in performance per watt per dollar [8] Partnership & Value Proposition - The partnership between AMD, HPE, and StorMagic provides validated, readily deployable solutions for retailers [5] - StorMagic emphasizes trust and reliability at the edge, ensuring stores remain operational [9]