AMD

As AI adoption accelerates, organizations are looking for infrastructure that delivers both performance and efficiency. At #AdvancingAI, AT&T Chief Technology Officer Jeremy Legg shared how his team is shifting its AI use cases to open-source models and partnering with AMD to help power those workloads. Hear how AT&T is increasing accuracy while lowering cost, and why the company expects its use of AMD solutions and open-source AI models to continue growing.

Humanoids. Quadrupeds. Industrial robots. Two days of physical AI innovation. 🤖 At #AdvancingAI, our robotics customers and partners showcased how AMD embedded technology is helping bring intelligent, autonomous systems from concept to real-world deployment.

Innovation starts with people who are eager to learn, ask questions and run towards the hardest problems. On #NationalInternDay, we're celebrating the contributions of our AMD interns and a summer of learning, collaboration and growth. We were excited to have Chair and CEO Lisa Su join this week's Executive Speaker Series to share her career advice and experiences with this next generation of builders. Thank you to all of our interns for everything you've accomplished, we can't wait to see where your journey takes you!

Choosing the right model matters, but it's only part of the conversation. Boris Cherny, Head of Claude Code at Anthropic, joins Mark Papermaster to explain why improving the return on AI investments is just as important as managing costs in the latest episode of Advanced Insights. Watch the full episode: https://lnkd.in/gfZ5VTrE

The best AI infrastructure is built through close collaboration. Hear VP of Compute Strategy & GPT-Infra at OpenAI, Sachin Katti, share how his engineering teams are working alongside AMD to rapidly bring up systems, optimize GPT-class workloads and advance what's next.

#AdvancingAI requires an open ecosystem that evolves alongside the models it powers. AMD and OpenAI are working together across Triton, Gluon, LLVM and AMD ROCm to strengthen the software foundation supporting AI developers. Combined with AMD Instinct accelerators and AMD Helios rackscale systems, this collaboration helps build an open AI platform designed for the future. Read more: https://bit.ly/4wqw5nS

Building AI at scale requires treating the data center as a single, integrated system. That's why AMD and Meta are co-engineering AI infrastructure across the full stack, from AMD EPYC CPUs and Instinct GPUs to AMD Helios rackscale solutions, AMD Pensando networking and ROCm software. Together, we're designing integrated AI systems optimized for Meta's largest AI workloads. As we expand deployments and prepare for gigawatt-scale AI infrastructure, our teams are working side by side to accelerate AI training, inference and the next generation of AI experiences. Learn more: https://bit.ly/4pHz8Wc

The next era of AI demands a new generation of infrastructure. To meet the rising demands of AI workloads, Meta and AMD are co-engineering AI infrastructure across the full stack. Hear from Santosh Janardhan, Head of Infrastructure at Meta, on how we are partnering to build the future of AI.

Agentic computing. Agent computers. What's the difference? Overheard at AMD #AdvancingAI, Frank Azor breaks it down. 🤖👩💻

We wrapped #AdvancingAI with Dr. Lisa Su and Clem Delangue 🤗 who shared why the future of AI will be shaped by the developers building it. Until next year. ✌️