Leave your feedback Share Copy URL https://gographicsoutput.com/video/hzeIS2ESTFW.html Email Facebook Twitter LinkedIn Pinterest Tumblr Share on Facebook Share on Twitter 321 | Breaking Analysis | AMD calls its shot - But the real race is engineering velocity [P6b1zX2A6IB] Health Updated on August 06, 2026 EDT — Published on August 06, 2026 EDT In the latest episode of Breaking Analysis, theCUBE Research’s Dave Vellante examines AMD’s Helios platform and the engineering velocity shaping artificial intelligence infrastructure. Vellante questions whether AMD’s distributed development model can compete with NVIDIA’s tightly integrated approach as software, hardware, partners and validation capacity increasingly determine long-term platform leadership. Drawing on SemiAnalysis findings, Vellante explains why testing coverage, model support, production feedback and improvement rates matter more than keynote benchmarks. AMD delivered an 18-fold interactivity gain in 30 days, yet cluster instability disrupted a key vLLM target and exposed a significant internal GPU capacity gap compared with NVIDIA. Find more SiliconANGLE news and analysis Follow theCUBE's wall-to-wall event coverage Learn about the latest theCUBE events Be sure to follow Dave's weekly Breaking Analysis podcast as well, for the deep data dives on enterprise computing trends, from spending patterns to Wall Street implications. 00:00 - AMD's Strategic Vision: Engineering Velocity and AI Leadership 26:06 - From Vision to Reality: AMD's Path to Competitive Success #theCUBE #BreakingAnalysis #theCUBEresearch #AdvancingAI #AMD #NVIDIA vL8Os9afFOg AfLGXIezfb5 Fq74ARoZJBZ WCYn2TGZj8G
In the latest episode of Breaking Analysis, theCUBE Research’s Dave Vellante examines AMD’s Helios platform and the engineering velocity shaping artificial intelligence infrastructure. Vellante questions whether AMD’s distributed development model can compete with NVIDIA’s tightly integrated approach as software, hardware, partners and validation capacity increasingly determine long-term platform leadership. Drawing on SemiAnalysis findings, Vellante explains why testing coverage, model support, production feedback and improvement rates matter more than keynote benchmarks. AMD delivered an 18-fold interactivity gain in 30 days, yet cluster instability disrupted a key vLLM target and exposed a significant internal GPU capacity gap compared with NVIDIA. Find more SiliconANGLE news and analysis Follow theCUBE's wall-to-wall event coverage Learn about the latest theCUBE events Be sure to follow Dave's weekly Breaking Analysis podcast as well, for the deep data dives on enterprise computing trends, from spending patterns to Wall Street implications. 00:00 - AMD's Strategic Vision: Engineering Velocity and AI Leadership 26:06 - From Vision to Reality: AMD's Path to Competitive Success #theCUBE #BreakingAnalysis #theCUBEresearch #AdvancingAI #AMD #NVIDIA vL8Os9afFOg AfLGXIezfb5 Fq74ARoZJBZ WCYn2TGZj8G