AMD Data Center

Quentin Anthony of Zyphra shares how their team is building on AMD Instinct GPUs to push the boundaries of AI. From advanced research to real-world deployment, Zyphra is leveraging the performance, efficiency, and scalability of AMD Instinct to move faster and innovate at scale. Hear directly from Quentin on what’s driving their progress.

AI at the edge depends on fast, efficient decision-making. Hear how Wobot AI is using AMD EPYC 8005 processors to power autonomous AI agents that deliver real-time operational intelligence directly where data is created, helping retailers improve execution, optimize workflows, and enhance customer experiences.

AI deployment doesn’t have to mean reinventing your infrastructure. AMD’s Suresh Andani explains how AMD Instinct MI350P PCIe GPUs combine open software, enterprise-ready AI infrastructure, and scalable inference performance to help organizations accelerate AI adoption within existing data centers. Same racks. Same cooling. Dramatically more AI.

Production AI workloads demand infrastructure that is governable, efficient, and easy to deploy. Hear how Uniphore is using AMD Instinct MI350P PCIe cards to help deliver secure, enterprise-grade conversational and generative AI for more than 2,500 customers.

As organizations move AI from pilots into real-world production, many are underestimating one critical factor: the network. Ethernet fabrics collapse when faced with congestion and performance becomes chaotic. Read about how Cisco and AMD examine these conditions and provide a holistic switching solution that helps you power the next generation of AI workloads.

Zyphra’s new AMD-first Inference Cloud is built for the next wave of long-context, agentic AI, powered by AMD Instinct GPUs and optimized software for scalable open model serving. Follow us as AMD ROCm and AMD Instinct help enable high-capacity, efficient inference for demanding AI workloads. Learn more: https://lnkd.in/gspJfb9s

“Any model, any agent, any accelerator, and any cloud.” Red Hat’s Brian Stevens explains why open AI infrastructure matters as enterprises scale agentic AI workloads, and how Red Hat and AMD are collaborating to help simplify deployment with AMD EPYC processors and AMD Instinct GPUs.

As organizations move AI from pilot to production, the network plays a growing role in determining performance, efficiency, and scalability. Enter AI networking. In our new blog “What is AI Networking?”, we explore why traditional networks can fall short, what makes AI networking different, and how it helps keep distributed GPU workloads synchronized at scale. Learn more about how AMD is enabling open, flexible AI infrastructure with a programmable networking approach: https://lnkd.in/g4G-cY2Y

Enterprise AI adoption shouldn’t require rebuilding your data center. AMD’s Suresh Andani shares how the new AMD Instinct MI350P PCIe cards enable enterprises to deploy and scale generative and agentic AI using existing air-cooled infrastructure, while delivering strong AI performance and operational simplicity.