10+ hours of podcasts, in 5 minutes.
11 quotes from 1 episode on No Priors, each with a timestamped link to the source.
Rene Haas identifies physical supply chains and orchestration hardware as the primary bottlenecks in AI infrastructure. Silicon startups face a market where securing capital and physical wafers dictates survival.
Older industrial assembly systems required tearing out physical equipment when a new car model arrived.
“You had piece of mechanics designed to do a certain task and the software that was optimized for that task. If you had to a brand new automobile line came up or some different piece of equipment, if the robots weren't well suited for that, rip up the line.”
From Rene Haas on Why General-Purpose Robotics Needs Edge Compute
Falling behind as a technology laggard means having industry standards dictated to you.
“On first principles whether it was smartphones, the internet, personal computers, fill in your favorite technology, there is no downside from being the leader. There's there's just not. To be the lagard, you are having the entire script dictated to you and everything that kind of comes with it. Look at other parts of the world that are just not the leaders in this space economically and socially they're left behind.”
High unit costs make traditional direct sales a difficult business model for robotics.
“The cost of robots are so high. Because the cost of robots are so high, people buying the robots themselves, that's a tough model to get people's heads around.”
From Rene Haas on Why General-Purpose Robotics Needs Edge Compute
GPUs generate output tokens. CPUs arbitrate and route those tokens to users. Every computing system relies on this core hardware to coordinate operations.
“Well, of course, in a system problem, something has to do the orchestration, arbitration, decision around where those tokens go, right? The token factory just generates all these tokens. It's literally where are the trucks that are going to take the tokens away and give them to the users. That's what CPUs do.”
“There's no computing problem that's ever been invented that doesn't utilize and can't utilize the microprocessor. It is the heart of everything. All roads lead through it, around it, past it.”
Novel architecture alone no longer ensures market success. Companies face strict demands to secure capital and physical wafer supply to bring ideas into production.
“That's going to drive a lot of demand on having supply chain acumen, which then goes back to people who have got great ideas on chip design. They're going to have to need a lot of other things just to be able to get access to capital, wafers, everything you just talked about.”
Server farms require extensive work in liquid cooling and energy management to function. Building these physical facilities creates direct local employment.
“People look at data centers say, 'Oh, it's a big Costco box and there's two parking two cars in the parking lot and all of that is being driven automatically, so there's no jobs.' I call BS on that because if you think about whether it's around energy, liquid cooling, all of the things that make the data center better, that's all those are all jobs that can be created and done here.”
“The actual design of the architecture, the RTL generation if you will, the mapping of the architecture is not the largest amount of time…”
From Arm CEO Rene Haas on AI Chip Design and the Path to GDS2
“If you look at all the projects that are being done today, not a lot of them are ahead of schedule and needing less labor than they thought…”
“…most of the brains the brains that you see in the humanoids those are all running on ARM.”
From Rene Haas on Why General-Purpose Robotics Needs Edge Compute
“You have to have it to do all the things that are required in the edge device. But now we have an opportunity with our instruction set architecture to do a lot of things where you just can't put a 50 watt GPU on your head.”
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