Fantastic day at #AdvancingAI#. The energy and excitement were incredible. Thank you to @NotTomBrown, @sk7037, Santosh Janardhan, @andrewdfeldman, Jeremy Legg, @jpatel41, @ClementDelangue, and all of the customers, partners, and developers who joined us. The pace of AI innovation has never been faster - and we’re just getting started!

Save the date: #AdvancingAI# 2026 returns July 22-23! Join us at @MosconeCenter in San Francisco for real-world insights on building, deploying and scaling AI across the stack. Register here:

Open software helps AI move faster. At #AdvancingAI#, @OpenAI VP of Compute Strategy and GPT-Infra Sachin Katti (@sk7037) shared how his team is running GPT-class workloads on AMD Helios racks and using AI to accelerate software and model bring-up, all enabled by the open AMD software ecosystem.

This is what it takes to run agentic AI at scale. Helios delivers over 18,000 CDNA 5 GPU compute units, 4,600 Zen 6 CPU cores and 31 TB of HBM4 memory. All in a single rack. Looking back at #AdvancingAI# with Dr. Lisa Su.

Dhanashree Karlekar and Linda Yang from Supermicro joined Ben Levine from @AxiadoCorp to explore the strong relationship between Supermicro and Axiado, platform security, and more! Check out the full interview at @IgniteGTM Studio: #Supermicro# #Axiado# #Security# #AMD# #AdvancingAI#

Planning AI infrastructure for 2027? Start with the workload, not the spec sheet. Explore 7 takeaways from #AdvancingAI# 2026 for the agentic AI era, from CPU-GPU ratios and rack-scale systems to software, cost, governance and physical AI. Read the blog here:

🇮🇹 🇺🇸 🤖 𝐈𝐭 𝐢𝐬 𝐭𝐢𝐦𝐞 𝐟𝐨𝐫 𝐦𝐞 𝐭𝐨 𝐰𝐫𝐚𝐩 𝐮𝐩 𝐥𝐚𝐬𝐭 𝐰𝐞𝐞𝐤’𝐬 𝐀𝐌𝐃 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈 𝟐𝟎𝟐𝟔 𝐢𝐧 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨. It was an intense and inspiring experience — and an honor to present #GENE01# together with @AMD CEO Dr. @LisaSu and South Korea Deputy Prime Minister and Minister Kyunghoon Bae 🇰🇷 ⚛️ At #CES26# in January, we joined Dr. Lisa Su on the AMD keynote opening cerimony as we unveiled our vision and the #GENE01# concept design. 🖐️ Six months later, that vision became physical. At #AdvancingAI#, we presented a fully functional humanoid platform that walks, interacts, and perceives the world through its full-body multimodal skin. During the presentation, we showcased what we believe is one of the key assets for human-centric Physical AI: a sensorized skin capable of perceiving touch and proximity across the robot’s body, enabling safer and more natural interaction with people. 🤝 This moment reflects the strategic relationship between @G_Bionics Generative Bionics and AMD, supporting key computing capabilities across our Physical AI platform. 🚀 But above all, it shows what becomes possible when deep Physical AI expertise, next-generation computing, and industrial execution come together. 🙏 A special thank you to Dr. Lisa Su for giving us the honor of presenting GENE.01, and to the entire #AMD# team for welcoming Generative Bionics at Advancing AI and supporting our first live U.S. appearance. Kudos to the entire Generative Bionics team for making this happen in just six months. And a special thanks to the team in San Francisco for the extraordinary work on site. 🚀 Our Physical AI is moving from concepts, models, and simulations into the real world very quickly, stay tuned. --- To know more. 📖 Press release: - 🇮🇹 - 🏴󠁧󠁢󠁥󠁮󠁧󠁿 📹 Full video: ℹ️ GENE.01 info 🤖 GENE.01 open source URDF 🔬 To learn about the science behind our #bodyascompute# computational approach for designing GENE.01 in such a short time, look at our Nature Machine Intelligence paper on the #Generative# Physical AI conditioned by #Biomechanics#: #GenerativeBionics# #GENE01# #PhysicalAI# #HumanoidRobotics# #Robotics# #AMD# #AdvancingAI# #IndustrialAI# #HumanRobotInteraction#

AMD AI Takeaways Note •AI accelerator market now seen at $1.4T by 2030 (up from $1T prior). We also raises forecast to $1T by 2028, backed by our bottom-up analysis •Server CPU TAM also boosted to >$220B by 2030. Agentic AI expected to be ~50% of TAM, with CPU:GPU ratio tightening toward 1:1. •MI455X is a major leap: 34x higher throughput & 18x lower token cost vs MI355X. Already outperforming Nvidia B200 in some LLM inference. •MI500 brings optical interconnects, ahead of Nvidia Rubin Ultra in key areas (HBM, 4-die package, scale-up domain). •Venice CPU strongest for AI workloads: 2.2x/2.0x higher throughput vs competitors. We estimate ~300k CoWoS builds expected in 2027 → big ASP uplift. 📈 No change to estimates and TP #AMD# #AdvancingAI#

We’re excited to join @AMD at Advancing AI 2026 in San Francisco this July. Advancing AI 2026 brings together developers, enterprise leaders, customers, and ecosystem partners to explore practical AI deployment, accelerated computing, and open AI ecosystems. Stay tuned for more details on Supermicro's technical sessions and workshops at the event! Register here: #AdvancingAI#