AMD Commemorates 30 Years of Corporate Responsibility With 2024–25 Report

Associated Press

2 days ago

This year marks a milestone at AMD as we celebrate 30 years of corporate responsibility reporting. While much has changed over the last three decades, our culture of purpose-driven innovation remains core to AMD.
Today, semiconductors are increasingly at the center of our modern infrastructure – from the cloud services underpinning our work and entertainment, to supercomputers accelerating critical research, to the devices we use every day to communicate, learn and contribute. In parallel, corporate responsibility is integral to how we operate as an employer, customer, supplier and partner.
I am pleased to share our latest progress update across our strategic focus areas in our 2024-25 Corporate Responsibility Report. With thanks to countless AMDers and partners, I invite you to read the highlights below and explore the full report here.
Advancing research and STEM education
We believe high-performance and adaptive computing can help solve the world's toughest challenges. We are passionate about equipping the brilliant researchers, ambitious students and youngest minds with compute resources, support and education.
Advancing our people
We encourage and support creative minds from all backgrounds to work together in an engaging and open environment. By fostering a culture where every employee feels valued and has a true sense of belonging, we can fuel innovation, deliver strong performance and lead with impact.
Advancing environmental sustainability
Our environmental sustainability initiatives span our global operations and value chain, with clear goals and transparent annual reporting. Today we also published our Climate Transition Plan (CTP) with governance, strategies and action plans to support decarbonization efforts across our products, operations and supply chain.
Green500 list
Advancing supply chain responsibility
Our comprehensive approach to supply chain responsibility includes setting expectations, aligning with industry standards, fostering collaboration through industry groups, and analyzing risks while monitoring effectiveness.
As we celebrate this milestone year of corporate responsibility at AMD and the progress of integrating our values, strategy and actions, we also look ahead with ambition and focus. Our objectives remain clear: deliver impact where it matters most – through energy-efficient innovation, responsible business practices and progress that empowers our people, partners and communities.
Learn more at www.amd.com/corporateresponsibility
[i] The time period for the Digital Impact goal includes donations made after January 1, 2020 and initiated by December 31, 2025. 'Initiated' is defined as AMD and the recipient organization reaching an agreement on an AMD donation, which must be delivered by July 30, 2026. Reported data includes: direct beneficiaries defined as students, faculty or researchers with direct access to AMD-donated technology, funding or volunteers; and indirect beneficiaries defined as individuals with a reasonable likelihood of receiving research data formulated through AMD-donated technology and potentially gaining useful insights or knowledge. AMD conducts annual surveys with recipient organizations to estimate direct beneficiaries, and in the case of the AI & HPC Fund, indirect beneficiaries as well. Based on 3 years of responses (2021-2023), AMD created an economic-based impact assumption to estimate the total number of indirect beneficiaries (not applied to direct beneficiaries) by dividing the total market-value of donations in a given year by the total reported indirect beneficiary values from recipients' surveys for the same year. The data shows the ratio is 1.08 on average for the 3 years of data used in the model. Therefore, AMD assumes for every US$1m of market-value donated, approximately 1.08 million people will indirectly benefit. AMD also assumes that the annual estimated indirect beneficiaries in year 1 continues to reach additional individuals in year 2 and year 3, but at a reduced rate. The impact depreciation rate assumes year 2 beneficiaries amount to 50% of year 1 estimates, and year 3 beneficiaries amount to 25% of year 1 estimates. AMD goal calculations are third-party verified (limited level assurance) based on data supplied by recipient organizations, which is not independently verified by AMD, and AMD economic-based impact models based on data supplied by recipient organizations. The model mentioned above was extended to data from the AMD University Program (which now includes AI & HPC Fund) for 2023-2024.
[ii] EPYC-030a: Calculation includes 1) base case kWhr use projections in 2025 conducted with Koomey Analytics based on available research and data that includes segment specific projected 2025 deployment volumes and data center power utilization effectiveness (PUE) including GPU HPC and machine learning (ML) installations and 2) AMD CPU and GPU node power consumptions incorporating segment-specific utilization (active vs. idle) percentages and multiplied by PUE to determine actual total energy use for calculation of the performance per Watt. 38x is calculated using the following formula: (base case HPC node kWhr use projection in 2025 * AMD 2025 perf/Watt improvement using DGEMM and TEC +Base case ML node kWhr use projection in 2025 *AMD 2025 perf/Watt improvement using ML math and TEC) /(Base case projected kWhr usage in 2025). For more information, https://www.amd.com/en/corporate/corporate-responsibility/data-center-sustainability.html.
[iii] AMD based advanced racks for AI training/inference in each year (2024 to 2030) based on AMD roadmaps, also examining historical trends to inform rack design choices and technology improvements to align projected goals and historical trends. The 2024 rack is based on the MI300X node, which is comparable to the Nvidia H100 and reflects current common practice in AI deployments in 2024/2025 timeframe. The 2030 rack is based on an AMD system and silicon design expectations for that time frame. In each case, AMD specified components like GPUs, CPUs, DRAM, storage, cooling, and communications, tracking component and defined rack characteristics for power and performance. Calculations do not include power used for cooling air or water supply outside the racks but do include power for fans and pumps internal to the racks. Performance improvements are estimated based on progress in compute output (delivered, sustained, not peak FLOPS), memory (HBM) bandwidth, and network (scale-up) bandwidth, expressed as indices and weighted by the following factors for training and inference.
Performance and power use per rack together imply trends in performance per watt over time for training and inference, then indices for progress in training and inference are weighted 50:50 to get the final estimate of AMD projected progress by 2030 (20x). The performance number assumes continued AI model progress in exploiting lower precision math formats for both training and inference which results in both an increase in effective FLOPS and a reduction in required bandwidth per FLOP.
[iv] 'Manufacturing Suppliers' are defined as suppliers that AMD buys from directly and that provide direct materials and/or manufacturing services to AMD.
[v] AMD calculations are third-party verified (limited level assurance) based on data supplied by our Manufacturing Suppliers, which is not independently verified by AMD.
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