Fair points. Hyperscaler floorspace is dominated by NVIDIA and custom ASICs.
But the middle layer between them is growing fast: mixed workloads, high-volume inference, and cost-sensitive scaling. That’s the segment AMD is actually targeting, not NVDA’s core territory.
MI3xx still has execution risk, but it’s not “vapor.” And in a market expanding this quickly, a stable 5–10% share is still a meaningful, multi-billion-dollar business.
You can call it “vapor” if that makes the argument easier, but let’s stay honest: every accelerator is “pre-silicon” until the production wafers come back. That includes NVIDIA’s next-gen parts and every custom ASIC in flight.
The difference isn’t the label, it’s execution.
If AMD delivers working silicon and wins real hyperscaler deployments, it matters. If they don’t, it won’t.
Appreciate that! and you’re spot on. What makes this trio interesting is how differently they participate in the same AI cycle.
NVDA’s moat is acceleration + ecosystem lock-in, so every technical level becomes a referendum on whether their pace can keep compounding.
AVGO is the steady cash-flow chassis of the AI buildout: networking, custom silicon, VMware, so their strength comes from smoothing out the capex volatility the pure semis are exposed to.
And AMD lives in the proof zone: MI300 is real momentum, but the market prices every level based on whether share gains are accelerating or stalling. That’s why 194–200 matters more than most think.
Different engines, same wave. but very different risk curves.
Interesting. Thank you!
Fair points. Hyperscaler floorspace is dominated by NVIDIA and custom ASICs.
But the middle layer between them is growing fast: mixed workloads, high-volume inference, and cost-sensitive scaling. That’s the segment AMD is actually targeting, not NVDA’s core territory.
MI3xx still has execution risk, but it’s not “vapor.” And in a market expanding this quickly, a stable 5–10% share is still a meaningful, multi-billion-dollar business.
You can call it “vapor” if that makes the argument easier, but let’s stay honest: every accelerator is “pre-silicon” until the production wafers come back. That includes NVIDIA’s next-gen parts and every custom ASIC in flight.
The difference isn’t the label, it’s execution.
If AMD delivers working silicon and wins real hyperscaler deployments, it matters. If they don’t, it won’t.
That’s the only conversation worth having.
Appreciate that! and you’re spot on. What makes this trio interesting is how differently they participate in the same AI cycle.
NVDA’s moat is acceleration + ecosystem lock-in, so every technical level becomes a referendum on whether their pace can keep compounding.
AVGO is the steady cash-flow chassis of the AI buildout: networking, custom silicon, VMware, so their strength comes from smoothing out the capex volatility the pure semis are exposed to.
And AMD lives in the proof zone: MI300 is real momentum, but the market prices every level based on whether share gains are accelerating or stalling. That’s why 194–200 matters more than most think.
Different engines, same wave. but very different risk curves.