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Index/AI & Data/ChatGPT and Beyond with Fexingo
ChatGPT and Beyond with Fexingo artwork

Why AI Inference Costs Are About to Plunge

ChatGPT and Beyond with Fexingo · 2026-07-10 · 9 min

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Topics in this episode

AI inference costsHBM memorynvidia stocksk hynix ipoai chip demand

Episode notes

Lucas and Luna break down why the price of running AI models - inference - is on the verge of a dramatic drop. With SK Hynix raising $26.5 billion in the biggest foreign IPO in US history and NVIDIA's stock surging 7.9% in the past five days, they connect the dots between memory manufacturing, chip demand, and the economics of deploying AI at scale. They explain how new memory technologies like HBM4 are cutting per-token costs, why inference is becoming the dominant AI workload, and what this means for startups racing to build AI-powered products. If you've wondered whether the AI boom is a bubble or a real shift, this episode gives you a concrete number to watch: the cost of a single inference call. No hype, just the math. #AIInference #NVIDIA #SKHynix #HBM #ChipCosts #LLMOps #AIScale #MemoryTechnology #IPO #Semiconductors #Technology #FexingoBusiness #BusinessPodcast #AIEconomics #StartupStrategy #InferenceCosts #LucasAndLuna #FexingoPodcast Keep every episode free: buymeacoffee.com/fexingo

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • S7E21 - How AI Will Rewrite SaaS GTM in 2026: Pricing, Efficiency & Sales Automation with Jacco van der KooijGrow Your B2B SaaS · on AI inference costs67 / 100
  • Qualcomm's Data Center Debut, OpenAI's Jalapeño, and the Memory-as-Strategic Infrastructure Debate | The Six Five Pod Ep. 310The Six Five with Patrick Moorhead and Daniel Newman · on HBM memory66 / 100

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