A Former Apple Luminary Sets Out to Create the Ultimate GPU Software | EUROtoday

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Still, builders say that bringing code from Nvidia’s CUDA to ROCm isn’t a easy course of, which implies they sometimes give attention to constructing for only one chip vendor.

“ROCm is amazing, it’s open source, but it runs on one vendor’s hardware,” Lattner informed the gang at AMD’s Advancing AI occasion in June. Then he made his pitch for why Modular’s software program is extra moveable and makes GPUs that a lot sooner.

Lattner’s discuss at AMD is consultant of the sort of dance that Lattner and Davis must do as they unfold the Modular gospel. Today, Nvidia and AMD are each essential companions for the agency. In a future universe, they’re additionally direct rivals. Part of Modular’s worth proposition is that it will probably ship software program for optimizing GPUs even sooner than Nvidia, as there may be a months-long hole between when Nvidia ships a brand new GPU and when it releases an “attention kernel”—a vital a part of the GPU software program.

“Right now Modular is complimentary to AMD and Nvidia, but over time you could see both of those companies feeling threatened by ROCm or CUDA not being the best software that sits on top of their chips,” says Munichiello. He additionally worries that potential cloud clients might balk at having to pay for an extra software program layer like Modular’s.

Writing software program for GPUs can also be one thing of a “dark art,” says Waleed Atallah, the cofounder and CEO of Mako, a GPU kernel optimization firm. “Mapping an algorithm to a GPU is an insanely difficult thing to do. There are a hundred million software devs, 10,000 who write GPU kernels, and maybe a hundred who can do it well.”

Mako is constructing AI brokers to optimize coding for GPUs. Some builders assume that’s the longer term for the trade, fairly than constructing a common compiler or a brand new programming language like Modular. Mako simply raised $8.5 million in seed funding from Flybridge Capital and the startup accelerator Neo.

“We’re trying to take an iterative approach to coding and automate it with AI,” Atallah says. “By making it easier to write the code, you exponentially grow the number of people who can do that. Making another compiler is more of a fixed solution.”

Lattner notes that Modular additionally makes use of AI coding instruments. But the corporate is intent on addressing the entire coding stack, not simply kernels.

There are roughly 250 million the reason why buyers assume this method is viable. Lattner is one thing of a luminary within the coding world, having beforehand constructed the open supply compiler infrastructure mission LLVM, in addition to Apple’s Swift programming language. He and Davis are each satisfied that this can be a software program downside that should be solved outdoors of a Big Tech atmosphere, the place most firms give attention to constructing software program for their very own expertise stack.

“When I left Google I was a little bit depressed, because I really wanted to solve this,” Lattner says. “What we realized is that it’s not about smart people, it’s not about money, it’s not about capability. It’s a structural problem.”

Munichiello shared a mantra widespread within the tech investing world: He says he’s betting on the founders themselves as a lot as their product. “He’s highly opinionated and impatient, and also right a lot of the time,” Munichiello stated of Lattner. “Steve Jobs was also like that—he didn’t make decisions based on consensus, but he was often right.”

https://www.wired.com/story/semiconductor-software-startups-chips/