In this episode, I sit down with Jens Stapelfeldt, Global AI Lead at AMD's University Program, to explore how AMD is challenging the status quo in AI hardware. We dive into the evolution from proprietary ecosystems to AMD's open, enterprise-ready platforms, discussing what this means for industrial AI applications and decision makers. Jens shares insights on AMD’s broad AI portfolio, from GPUs to edge solutions, and how strategic collaborations are accelerating innovation. We also examine the significance of open-source principles and the impact of diverse hardware options on industrial use cases. Join me as we uncover why AMD positions itself as the most versatile player in the AI space, from edge devices all the way to the cloud.

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https://www.amd.com/en/technologies/artificial-intelligence

https://www.xilinx.com/applications/artificial-intelligence.html

https://en.wikipedia.org/wiki/Field-programmablegatearray

https://developer.nvidia.com/cuda-zone

https://rocm.docs.amd.com/en/latest/

https://pytorch.org/

https://vllm.ai/

https://www.lamini.ai/

https://silo.ai/

https://ai.facebook.com/

https://www.microsoft.com/en-us/ai

https://www.oracle.com/artificial-intelligence/

https://www.amd.com/en/products/ryzen-ai

https://www.amd.com/en/products/instinct-accelerators

https://www.xilinx.com/products/silicon-devices/fpga/virtex.html