Posts by Layla Frischman

ROCm 7.14: TheRock Goes Production and Expands AMD’s AI Software Platform

In this blog, you will explore the key updates and improvements that make the ROCm 7.14 release a major milestone in the evolution of AMD’s open source AI software ecosystem. At the heart of this release is the production debut of TheRock, AMD’s new automated, open-source build and release system that modernizes how ROCm is built, packaged, validated, and delivered.

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ROCm 7.13: Expanding Hardware, Tools, and Reach

AMD released ROCm Core 7.13, the AMD GPU Driver 31.30, and AMD GPU Virtualization 9.0. With these releases, ROCm software expands hardware support across enterprise datacenters. The platform introduces AMD’s latest Instinct accelerators, enables GPU virtualization on VMware ESXi and KVM, and delivers optimized performance for generative AI and large language models. The developer experience has been refined with streamlined profiling tools and open-source visibility into low-level performance analysis. As a result, AI development has become more practical across a broader range of hardware, spanning the latest AMD Instinct hardware and newly supported virtualized GPU partitioning modes.

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