AI Infrastructure & Market Positioning - Supermicro identifies itself as the fastest-growing AI OEM, projecting growth from $7 billion to $14 billion, and targeting approximately $22 billion [4] - The company emphasizes its focus on addressing missing elements in AI deployments, particularly concerning deployment scale and efficiency [5] - Supermicro aims to improve the experience of deploying, managing, and servicing AI infrastructure by collaborating with ecosystem partners [3] Liquid Cooling & Data Center Efficiency - Supermicro has a current capacity of 5,000 racks per month, with 2,000 racks per month dedicated to liquid cooling [7] - The company is investing in liquid cooling technologies and has an 18MW power capacity in its manufacturing facility for system-level testing [6] - Supermicro aims to improve liquid cooling efficiency up to 98% to reduce water consumption and noise levels [24] - Liquid cooling can improve efficiency by up to 40% by targeting CPUs, GPUs, memory, and power supplies [23] Holistic AI Deployment Approach - Supermicro advocates for a holistic approach to AI deployments, considering system, rack, and data center levels, including power, cooling, rack density, and weight [10][11][20] - The company emphasizes the importance of rapid deployment and monetization of AI infrastructure, working closely with technology partners [8] - Supermicro is validating networking solutions, including InfiniBand and Ethernet, to ensure efficient data transfer from GPUs [19][20] AMD Partnership & Solutions - Supermicro collaborates with AMD, offering systems from MI25 to MI300X, including air-cooled and liquid-cooled options [26][31] - Supermicro is shipping MI350 and MI355 series servers with both air-cooled and liquid-cooled options [36][50] - Supermicro was the first to qualify an A+ A+ A solution, combining AMD CPUs, GPUs, and Pensando AI NICs [49][50]

AI Acceleration - AMD Instinct 和 ROCm 软件正在加速人工智能性能，更快、更高效地将前沿 AI 模型投入生产 [1] - Microsoft 的 Eric Boyd 分享了 AMD 的硬件和软件如何推进 AI [1] Company Information - AMD 是一家半导体公司，其产品包括 CPU、GPU 和自适应计算 [1] - 该文档包含 AMD 的商标和版权信息，表明其对技术的知识产权保护 [1] Resources - 提供了 AMD Red Team Discord 服务器、Facebook、Twitter、Twitch、LinkedIn 和 Instagram 的链接，方便用户获取更多信息和互动 [1]

Whenever people go one direction, I actually want to go the other direction and see where that is. For example, when I was doing my PhD thesis, I wanted to work on power consumption in processor architecture, and honestly, my advisor would look at me like, "Why are we talking about this?" I just thought that that was super important. 15 years later, it received the Test of Time Award saying that was a seminal paper that changed how we think about power in the industry.So my role at AMD is to work in the res ...

Backstage with Sam Altman at #AdvancingAI. The future of AI is developer-first and open. *** Subscribe: https://bit.ly/Subscribe_to_AMD Join the AMD Red Team Discord Server: https://discord.gg/amd-red-team Like us on Facebook: https://bit.ly/AMD_on_Facebook Follow us on Twitter: https://bit.ly/AMD_On_Twitter Follow us on Twitch: https://Twitch.tv/AMD Follow us on LinkedIn: https://bit.ly/AMD_on_Linkedin Follow us on Instagram: https://bit.ly/AMD_on_Instagram ©2025 Advanced Micro Devices, Inc. AMD, the AMD A ...

To truly innovate AI at scale, you need the full stack. Listen to Tareq Amin, CEO of HUMAIN, to see how together we’re building state-of-the-art AI factories and data centers with the power, connectivity, and chipsets to lower infrastructure costs and accelerate global innovation. #AdvancingAI *** Subscribe: https://bit.ly/Subscribe_to_AMD Join the AMD Red Team Discord Server: https://discord.gg/amd-red-team Like us on Facebook: https://bit.ly/AMD_on_Facebook Follow us on Twitter: https://bit.ly/AMD_On_Twit ...

AI Infrastructure & Market Perspective - Oracle views AI at an inflection point, suggesting significant growth and change in the industry [1] - The discussion highlights that it's a great time to be an AI customer, implying increased options and competitive pricing [1] - Enterprise AI adoption is underway, but the extent of adoption is still being evaluated [1] - The future of AI training and inference is a key area of focus, indicating ongoing development and innovation [1] Technology & Partnerships - Oracle emphasizes making AI easy for enterprise adoption, suggesting user-friendly solutions and services [1] - AMD and Oracle have a performance-driven partnership, indicating collaboration to optimize AI infrastructure [1] - Cross-collaboration across the AI ecosystem is considered crucial for advancement [1] - Co-innovation on MI355 and future roadmaps between AMD and Oracle is underway [1] - Openness and freedom from lock-in are promoted, suggesting a preference for flexible and interoperable AI solutions [1] Operational Considerations - Training large language models at scale requires evolving compute needs and energy efficiency [1] - Operating in a scarce environment is a challenge, potentially referring to resource constraints like compute power or data [1] - Edge inference can be enabled with fewer GPUs, suggesting advancements in efficient AI deployment [1] Ethical & Societal Impact - Societal impact, guardrails, and responsibility are important considerations in the development and deployment of AI [1]

Overview of AMD Kria KD240 Drive Starter Kit - The AMD Kria KD240 Drive Starter Kit serves as an evaluation platform for the K24 SOM, focusing on motor control and power conversion applications [3] - The kit supports user customization through the AMD Vitis Unified IDE, acceleration overlays, and AMD Vivado Design Suite hardware board files [4][37] - The Field-Oriented Control (FOC) motor control application demonstrates inverter and motor control examples using AMD standard IP and libraries [4][38] FOC Motor Control Methods - Torque control maximizes motor torque output consistency by optimizing the quadrature Q vector and minimizing the direct D vector component [6] - Speed control is implemented via an additional PI controller that adjusts motor torque to maintain a constant speed [6] - Field weakening control increases motor speed by adjusting the relationship between the Q vector and D vector in the FOC [7] Hardware and Software Components - The KD240 utilizes an ADC hub for motor voltage and current feedback and a QEI encoder for RPM feedback [8] - Soft IPs are supported by kernel drivers using the industrial IIO framework, simplifying hardware configuration and usage [10] - The system uses a generic PWM block to provide on-off commands for each switch of a three-leg inverter [8] Motor Control Application and Dashboard - A motor control application library integrated with device drivers enables seamless operation across different modes [10] - The dashboard GUI allows users to control set points, gain parameters, and observe live plots of key metrics [11] - The dashboard allows users to select motor control modes: speed, torque, or open loop [28] - In torque mode, the valid range for torque set point is negative 250% to 250% amps [30] - In speed mode, the valid range for speed set point is negative 10,000 to 10,000 RPMs [30]

For today's security providers, running services in the cloud presents several challenges, including latency, privacy, and cost. BUFFERZONE NoCloud AI Anti-Phishing Solution uses local AI-based processing to detect harmful and fraudulent websites faster and more accurately. The solution leverages AMD's powerful NPU hardware and advanced Ryzen AI PRO systems for local hardware processing.With AMD hardware, BUFFERZONE can stay vigilant while optimizing for low-power analysis, keeping CPU and GPU-based resourc ...

Being a part of the LGBTQ+ community, there are a lot of challenges. It's really easy to feel othered, especially in spaces like the internet and gaming, just because there are a lot of unsafe spaces out there. So when we see people like us on stages or in video games or on the front page of big websites, it really does make us feel like we belong here.Finding yourself is such a hard journey, and having people in your corner makes that journey a little bit easier. Having someone be there for you when you co ...

Overview of Advanced Flow - AMD Vivado Design Suite 2024.2 introduces Advanced Flow for Versal devices, featuring new place and route algorithms for faster design performance and improved routability [5] - Advanced Flow aims to reduce compile times for larger, more complex AMD Versal adaptive SoCs, offering up to 2X speedup for Versal SSIT devices and 1.7X for Versal monolithic devices [9] - The Advanced Flow is integrated into the Vivado IDE, maintaining familiar design processes and Tcl scripting [8] Key Features and Architecture - Advanced Flow includes automatic partitioning to divide large designs into smaller problems solvable in parallel, along with new infrastructure for efficient parallel compilation [10] - The new architecture uses leaner data structures for storage and retrieval of physical design information, improving place and route speed, checkpoint handling, and memory footprint [10][11] - A new timing engine optimized for the placer's data structures helps quickly evaluate the timing impact of placement changes [11] - The placer reduces routing congestion, and the clock region placer's capacity is increased for better handling of complex designs with many global clocks [12] Directives and Subdirectives - The Advanced Flow simplifies placer directives to five basic options: Quick, RuntimeOptimized, Default, Explore, and AggressiveExplore [18] - A new placer option, Subdirective, provides finer-grained control over different phases of placement, allowing multiple subdirectives to be applied simultaneously [20] - Subdirectives unlock more combinations and allow exploration of different options at each placer phase, covering more solution space than original directive options [25] Implementation and Migration - AMD recommends a methodical approach to timing closure, starting with Default, Explore, and AggressiveExplore strategies, then combining the best directive with key subdirectives [32][33] - Migrating to Advanced Flow requires archiving the project, as the migration is not reversible and resets runs and options to Advanced Flow place and route [37] - Projects from pre-2024.2 Vivado versions cannot reuse place and route data in Advanced Flow due to a new database structure [41]