Blog posts discussing the technical implementation detail "SIMD"
← Back to all tagsBlog posts discussing the technical implementation detail "SIMD"
← Back to all tagsWhile this idea might be met with controversy in the current swarm of AI hype, we believe that the advent of sub-quadratic AI models, heterogeneous computing, and unified memory architectures will show themselves as pivotal components to next generation AI system design. The elements are certainly taking shape. As we stand at this technological crossroads, AMD’s evolving unified CPU/GPU architecture, exemplified by the MI300A and its planned successors (MI325, MI350, MI400), combined with their strategic acquisition of Xilinx, offers a compelling case study for re-imagining how AI models can operate.
Read MoreThe future of AI inference lies not in ever-larger transformer models demanding massive GPU clusters, but in a diverse ecosystem of specialized architectures optimized for specific deployment scenarios. At SpeakEZ, we’re developing the infrastructure that could make this future a reality. While our “Beyond Transformers” analysis explored the theoretical foundations of matmul-free and sub-quadratic models, this article outlines how our Fidelity Framework could transform these innovations into practical, high-performance inference systems that would span from edge devices to distributed data centers.
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