SiloGen

AMD Silo AI is a prominent AI laboratory focused on advancing AI computing on AMD platforms. It assists clients in developing and deploying sophisticated AI models and solutions optimized for high-performance compute platforms. With a team of over 300 AI scientists, including more than 125 PhDs, the lab combines deep scientific expertise with practical technology insights to help organizations effectively integrate, deploy, and scale AI.

The lab's work ranges from pioneering research to creating enterprise-ready AI solutions. It aims to push the boundaries of AI by addressing complex real-world challenges through a combination of world-class research and industry expertise.

Enterprise AI Solutions

AMD Silo AI enhances the value of digital products and services by integrating AI, thus transforming technological potential into tangible results. The lab focuses on building human-centric and trustworthy AI that empowers creativity and ensures technology serves society while augmenting human capabilities.

AMD Silo AI Compute to Impact Initiative

Supported by Business Finland, AMD Silo AI leads the Compute to Impact initiative, a five-year program with over €100 million in AI research and development investments. This initiative aims to bolster Finland's status as a global leader in applied AI by fostering innovation, talent development, and ecosystem-wide collaboration.

AI Platforms & Solutions

The SiloGen™ platform integrates AMD software, reliable hardware, and AI expertise into a comprehensive AI development and deployment solution. Designed for enterprise AI, it meets the needs of modern businesses by enabling rapid transition from hardware to production-grade AI.

AMD Enterprise AI Suite

This suite allows enterprises to quickly move from basic compute to production-grade AI by connecting key open-source AI frameworks and Gen AI models with an enterprise-ready Kubernetes platform, reducing the time from AI experimentation to large-scale production on AMD compute platforms.

AMD Silo AI's initiatives and collaborations, such as with TensorWave and Combient, focus on developing shared AI compute infrastructure and advancing AI-driven simulations with AMD GPUs. These efforts aim to optimize performance and accelerate development cycles across various domains, including robotics and drug discovery.

Overall, AMD Silo AI provides end-to-end AI implementation across technology stacks, leveraging extensive engineering experience to solve diverse challenges and deliver scalable AI features efficiently.