Summary
The episode argues that inference—serving AI models—is becoming the dominant use of compute, surpassing training. Custom accelerator chips like those from Etched, Cerebras, and others are critical for high-throughput, low-power inference. The hosts identify publicly traded plays on this trend, naming Cerebras, MediaTek, and Broadcom as asymmetric bets, while also advising not to overlook NVIDIA's ability to adapt.
- Inference demand has flipped from one-third to two-thirds of AI compute and is heading toward 80%.
- NVIDIA GPUs are underutilized (30-40%) for inference, creating an opening for specialized ASICs.
- Etched is a private startup building a whole-rack inference system with 10-50x efficiency over GPUs.
- Cerebras (CBRS) is a public inference chip company that the hosts view as deeply undervalued.
- MediaTek and Broadcom are identified as chip design companies benefiting from the custom inference boom.
- OpenAI's Jalapeno chip and other custom efforts highlight vertical integration as the endgame.
- Despite the rise of ASICs, NVIDIA's acquisition of Grok shows it will attempt to stay competitive.
- The hosts believe the market is underpricing the inference trend and are personally betting on some public names.