NVDA
The bear case got a timeout
Nvidia is once again getting the “but what about ASICs?” treatment, and this note says the panic may be premature. The core argument: hyperscaler-custom ASICs are real competition, sure, but they don’t erase Nvidia’s edge when a big chunk of the AI world still lives on CUDA and general-purpose GPUs.
Why this matters for your portfolio
If you own NVDA, the market’s real question isn’t whether competition exists — it’s whether competition can actually dent the gravy train. The note argues Nvidia’s customer mix is broader than the hyperscaler crowd, with neoclouds and enterprises still leaning on its ecosystem. That makes the moat look less like a ditch and more like a small canyon.
The next chip hype machine
The piece also points to Nvidia’s upcoming Groq 3 LPU inference chip as a way to handle rising inference demand while improving token cost efficiency. Translation: the company isn’t just defending its turf, it’s trying to make sure the next wave of AI spend still flows through its pipes.
Big picture
The Street may be getting more creative with its Nvidia skepticism, but this note says the stock’s biggest advantage is still the boring stuff: software lock-in, broad adoption, and a customer base that doesn’t vanish just because a hyperscaler built its own toy. In AI land, that kind of repetition can be the whole game.