Broadcom ASICs podcast: GPU supply means little when substrates and MLCCs bottleneck output
BenBajarin · x · 2026-09-09
Ben Bajarin shares takeaways from The Circuit podcast episode "Agents Gone Wild" on Broadcom's custom ASICs and the AI frontier.
- Bottleneck economics: adding GPUs or memory doesn't raise total system output if substrates, MLCCs, or wafer testing are short — shipments are set by the single most constrained component.
- Capacity timing: substrate, power/analog, foundry, and memory suppliers only make greenfield investments once long-term demand is certain. Broadcom, Nvidia and others signed sufficiently long LTAs with supply chains around late 2025–early 2026, so meaningful new capacity arrives years later, pointing to peak constraints around 2027.
- The episode also covers modeling custom silicon, 2028 capacity and pricing debates, Nvidia's acquisition of Hugging Face, AI security, and enterprise governance of AI agents.
More from Infra
- Analyst: Ant has the most fungible AI workload of any model provider today — BenBajarin · 2026-10-26
- Anthropic S-1: training infra edge cut per-task cost 40% and doubled revenue growth — BenBajarin · 2026-10-26
- Rewriting scaling law study: optimal synthetic data share rises from 10% to 32% with compute — heghbalz · 2026-10-26
- US states halt new data centers as 72% of Americans oppose local builds — YvesMulkers · 2026-10-26
- $5M Seed Round Can't Afford One DeepSeek Training Run: GPU-less AI Startup's Three Paths — FinanceYF5 · 2026-10-26
- HBM demand shifts: low-stack inference plans shelved, Rubin to go 12-high only — BenBajarin · 2026-10-26