Patel contrasts competitors' limited scale with NVIDIA's supply chain designed for tens of millions of chips.
“I can buy 10,000. I could buy a 100,000. I can't buy millions, tens of millions, which is what Jensen's, setting his supply chain up for.”
Patel claims his company moves 10x faster than competitors using Claude Code, enabling more hiring and business wins.
“It's actually insane. And so my plans of hiring and the business we win and the basis we're able to do is actually just growing.”
Patel says NVIDIA must be 2x better than competitors to justify their 75% plus margins.
“NVIDIA recognizes they're they're the leader, they're the tent pole. Hey, in one respect, they can just run faster than everyone, but it's kind of hard to be two x better than Google or or OpenAI or whoever else's internal chip, right, to justify their, you know, 75% plus margins.”
Patel says NVIDIA must be 2-4x better than competitors to justify 75% margins and 4x pricing above costs.
“And then they have to be two x to four x better to justify four x better to justify their margins because that's what they're charging above cogs.”
Patel states Oracle will grow from one fifth Microsoft's size to bigger by end of 2027 at 35% margins.
“Oracle is going from like one fifth your size to bigger than you by end of twenty twenty seven.”
Patel argues competing with NVIDIA requires leaping forward beyond supply chain advantages across networking, memory, manufacturing and components.
“They're gonna have better negotiations with whether it's TSMC or SK Hynix and the memory and silicon side or all the rack people or, like, copper cables, everything, they're gonna have better cost efficiency.”
Patel explains competitors need 5x hardware advantage over NVIDIA but risk failure if AI workloads shift before shipping.
“So now you need to do something, you know, that will give you five x advantage, right, in hardware efficiency for a certain type of workload, and then pray the workload doesn't shift.”
Patel argues the surprise was a Chinese company achieving this cost reduction, not the reduction itself.
“I think what was really surprising was that it was a Chinese company for the first time. Right? Because Google and and OpenAI and Anthropic and Meta have all traded blows.”
Patel predicts five to seven companies will train GPT-4 scale models in the next year.
“I do believe that there's going to be five to seven companies that will have a GPT-four size model, at least, right, in terms of total flops.”
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