https://www.infoq.com InfoQ Benchmark Presentations feed https://www.infoq.com/presentations/ai-hardware-tokenomics/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Benchmark-presentations <img src="https://res.infoq.com/presentations/ai-hardware-tokenomics/en/mediumimage/jordan-nanos-medium-1786538855211.jpg"/><p>Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing from SemiAnalysis research, he shares insights on benchmark performance, GPU scaling, and tokenomics from chip fab to model inference.</p> <i>By Jordan Nanos</i> QCon AI Boston 2026 AI Architecture AI Security GPU Large language models Model Inference Hardware Benchmark Infrastructure Performance Data Analytics Transcripts AI, ML & Data Engineering Architecture & Design Development presentation Tue, 18 Aug 2026 16:00:00 GMT https://www.infoq.com/presentations/ai-hardware-tokenomics/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Benchmark-presentations Jordan Nanos 2026-08-18T16:00:00Z /presentations/ai-hardware-tokenomics/en