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cameron quilici

T3 · host / generalist

Co-host of SemiAnalysis podcast and co-developer of InferenceX. Focuses on agentic benchmark design, KV cache offloading strategies, and real-world inference performance modeling.

1 call·1 name·0% bull·last heard 6 months ago·SemiAnalysis
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$AMDAdvanced Micro Devices

AMD MI355X HBM advantage may close gap with prefix caching but trails Nvidia today

AMD's MI355X offers 1.5x HBM capacity versus Nvidia's B200, which could enable better prefix caching performance in multi-turn workloads, but current InferenceX benchmarks show Nvidia surpassing AMD across almost all aspects.

SemiAnalysis2026-04episode →

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Advanced Micro Devices
MEDcameron quilici·SemiAnalysis·6 months ago·Bryan Shan x Cameron Quilici | Researcher Conversations at GTC
AMD MI355X HBM advantage may close gap with prefix caching but trails Nvidia today
AMD's MI355X offers 1.5x HBM capacity versus Nvidia's B200, which could enable better prefix caching performance in multi-turn workloads, but current InferenceX benchmarks show Nvidia surpassing AMD across almost all aspects.
"AMD MI355X versus B200, MI355 has one and a half times the HBM band capacity. So with prefix caching, right, like we'd expect it to to do to do better possibly."
6:43
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AI Infrastructuretailwind
Open-source InferenceX benchmarks expose real-world Pareto frontier for chip evaluation
Independent, open-source benchmarking with random-data baselines reveals worst-case chip performance, while upcoming agentic multi-turn benchmarks with prefix caching will better reflect production inference economics and highlight memory capacity advantages.