Industry Focus - AMD focuses on the retail and e-commerce sectors, showcasing its EPYC Server Business Unit at NRF Europe 2025 [1] - The retail industry is seeing trends that enable AI use cases at the edge [2] Partnerships - AMD partners with StorMagic, experts in virtualization at the edge for retail [2] - AMD collaborates with Wobot AI, a multimodal AI company providing insights at the edge with a low-code, no-code platform [2] - AMD partners with Supermicro to host a Happy Hour event, engaging with customers alongside Wobot and StorMagic [2] Technology and Solutions - StorMagic specializes in virtualization at the edge, particularly in the retail space [2] - Wobot AI offers a physical AI, multimodal AI platform for solving insights at the edge in retail [2]

Edge Computing & AI Solutions - AMD focuses on edge-focused, hyper-converged infrastructure to support applications solving specific market problems [2] - Wobot concentrates on building a model plus layer to demonstrate the return on investment of their application in quick-serve restaurants, retail, manufacturing, and stadiums [3] - AMD aims to integrate solutions like StorMagic and Wobot into OEM platforms, offering cost-effective virtualization at the edge with AI capabilities [4] - The combined software solution enables customers to leverage AI integrated solutions on existing hardware, with multiple vendor options powered by AMD for future refreshes [11][12] Retail Industry Focus - Retailers operate with small budgets at the store level, emphasizing the total cost of ownership [6] - The solution aims to solve the problem of converging multiple data streams for retailers, reducing endpoint hardware [7] - Camera technology consolidates various functions, replacing IoT sensors and enabling customer counting and conversion rate tracking [9][10] - Edge-based virtualization and multimodal AI are critical to support various markets, including retail, public sector, healthcare, life sciences, and manufacturing [12][13] Key Benefits - StorMagic operates on as few as two nodes for high availability, simplifying video components and potentially replacing other data source analyzers [8] - The integrated solution offers best-in-class, cost-effective virtualization at the edge, bundled with AI capabilities for generative AI, physical AI, computer vision, and multimodal integration [4] - The solution enables retailers to achieve new outcomes and insights previously unattainable, highlighting that the data center is not the edge [5]

AI Technology & Trends - The industry is seeing widespread AI adoption, with AI at the edge becoming a reality [3] - Multimodality and video language models are evolving from legacy object detection models [3] - Traditional CNN and DNN-based models are maturing and merging with generative AI and agentic AI [7] Wobot AI Platform & Solutions - Wobot AI provides operational insights across loss prevention, speed of service in quick-serve restaurants, and customer experience [4] - Wobot AI utilizes existing CCTV security cameras and relevant data sources like point of sales data or access control data [5][6] - Wobot AI offers ready-to-go templates for various industries that can be added to existing cameras [8] - Wobot AI provides a no-code tool that allows operators to create and deploy use cases without engineering backgrounds [8][9] - Wobot AI's no-code tool enables fine-tuning and modification of use cases on the fly, even through a prompt-based interface [11][12] Partnerships & Deployment - Wobot AI, AMD, and Supermicro are collaborating on a complete solution targeting a specific server for distribution [12] - Wobot AI deployed solutions across 200 locations for a large-scale drive-through operator in the UK in less than a week [11]

Hello, I'm Aaron Behman, Global Lead for Retail and E-commerce at AMD, part of the Server Business Unit. I'm here in Paris at NRF Europe, and I'm joined by Marc Del Vecchio, who heads up business development for edge and computer vision at Supermicro. Marc, great to see you, man.How are you. Yeah, thanks for having us out here. I really appreciate it.Absolutely. So maybe share with me some of the big trends that you're seeing here at NRF or just in general. Sure, absolutely.Well, you know, AI has been the b ...

Industry Overview - Embedded x86 processing is crucial for various sectors including industrial PCs, networking, storage, healthcare imaging, and retail kiosks [1] - These systems are ubiquitous, demanding technologies designed for challenging conditions such as continuous operation and high data processing [1] AMD's Embedded Solutions - AMD x86 embedded processors are designed to meet stringent requirements for embedded applications [2] - These processors offer always-on uptime, manage heat in constrained enclosures, and support long deployment cycles of 10 years [2] - AMD processors leverage data center and client technologies to deliver top performance, longevity, and reliability [3] - Embedded-specific features include RAS (Reliability, Availability, and Serviceability), advanced connectivity, and security features [3] - AMD is committed to open source firmware, validated tools and drivers, and long-term OS support [3]

ROCm and AI Software Stack - AMD's software stack, ROCm, enables easy access to hardware innovations for building AI solutions [8][9] - ROCm 7 provides significant performance improvements, with over 3x improvement in both inference and training compared to ROCm 6 [12] - AMD aims to make ROCm accessible on any AMD hardware, from laptops to data centers, with easy installation options like PIP Install [14][15] - AMD is investing in algorithms, kernels, and ecosystem-wide support to ensure day-zero support and performance for new AI models [19][20] - AMD is using AI to accelerate the development of ROCm, including agentic kernel generation and log analysis [28][29][30] Ecosystem and Open Source - AMD emphasizes an open-source approach with ROCm, similar to Chromium and Chrome, to foster innovation and accessibility [7][39] - AMD is committed to supporting the AI ecosystem holistically, funding CI/CD and ensuring full support for key software [36][37] - AMD's open ecosystem approach allows for faster adaptation and performance with new models compared to proprietary systems [55] - AMD is expanding its focus to enable the ecosystem, lighting up various ecosystem efforts to allow users to explore and find what works best for them [53][54] Developer Cloud and Infrastructure - AMD's developer cloud has seen immense uptake, with utilization exceeding 95% and over 1 million GPU hours utilized [34][35] - AMD is expanding its scope to rack-scale development, providing pre-validated solutions for customizable deployments [40][41]

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AI Productivity Enhancement - AI capabilities dramatically speed up email creation, streamlining workflows with local LLM (Large Language Model), SLM (Small Language Model), and AI-generated visuals [1][5] - AI enhances productivity and creativity by generating engaging emails from blank pages in minutes [5] - The workflow includes using camera effects (background blur, automatic framing) and drafting emails with SLM [2] Local Processing & Data Security - Running SLM locally ensures low latency and keeps data secure [2] - Ryzen AI Pro PC runs camera effects on the NPU (Neural Processing Unit) while delivering strong SLM performance on the GPU (Graphics Processing Unit) [3] - NPU can be used for tasks like camera effects and image generation, freeing the GPU for other tasks like SLM [2][5] AI Tool Integration - Recall captures snapshots of text and images, allowing users to find and re-engage with what they remember seeing [2] - Click to do allows easy insertion of addresses directly from websites [4] - Amuse, an AI-powered image tool optimized for Ryzen AI, generates custom images using stable diffusion [4]

Product & Technology - AMD Instinct™ MI350 Series GPUs are designed for Generative AI and high-performance computing (HPC) acceleration in data centers [1] - The GPUs are built on the 4th Gen AMD CDNA™ architecture [1] - The GPUs deliver efficiency and performance for training AI models, high-speed inference, and complex HPC workloads [1] Target Applications - The GPUs are suitable for scientific simulations, data processing, and computational modeling [1] Legal & Trademark - ©2025 Advanced Micro Devices, Inc [1] - AMD, the AMD Arrow Logo are trademarks of Advanced Micro Devices, Inc in the United States and other jurisdictions [1]

Product & Technology - AMD Ryzen AI Max PRO processors enable faster and smarter workflows for creative professionals [1] - AMD emphasizes creativity without limits by offering PRO-level performance in a portable form factor [1] Marketing & Branding - AMD encourages viewers to subscribe to their YouTube channel [1] - AMD promotes engagement through various social media platforms including Facebook, Twitter, Twitch, LinkedIn, and Instagram [1] - The content is copyrighted to Advanced Micro Devices, Inc in 2025 [1] Community Engagement - AMD invites users to join the AMD Red Team Discord Server [1]