AMD's New AI Chip Made The Entire Nvidia AI Chip Line-up Look Like a JOKE!
By Evolving AI
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NVIDIA has dominated the AI chip market for years. But AMD's Instinct MI350 series might finally be giving the industry a serious alternative. Built on AMD's CDNA 4 architecture, the MI350X and MI355X combine 185 billion transistors, 288GB of HBM3E memory, 8 TB/s of memory bandwidth, and support for FP4 and FP6 AI workloads. AMD claims massive generational improvements, including up to 4× the AI compute performance of its previous generation. But the real battle isn't happening on a spec sheet. Independent testing cited in this video found the MI355X delivering up to 2.15× more tokens per dollar than NVIDIA's B200 platform across tested AI models, while another workload showed 53% lower cost per processed document. In this video, we break down the MI350 architecture, its enormous memory advantage, MI350X vs MI355X, AMD's improving ROCm 7 software ecosystem, real-world inference performance, and why companies including Meta, Microsoft, Oracle and OpenAI are increasingly interested in AM
Tags: AMD MI350, AMD Instinct MI350, MI355X, AMD MI355X, AMD vs Nvidia, Nvidia B200, AMD AI chip, Nvidia AI chip, AI GPU, AI accelerator, AMD Instinct, CDNA 4, AMD CDNA 4, HBM3E, AI chips 2026, data center GPU, ROCm 7, AMD ROCm, Nvidia CUDA, AI inference
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