Cerebras Systems’ massive chips are revolutionizing AI

Greater isn’t all the time higher, however typically it’s. Cerebras Programs, an organization bent on accelerating machine studying programs, constructed the world’s largest chip final 12 months. Within the time since, it’s developed bespoke options to a few of the largest issues within the AI trade.

Based in 2015, Cerebras is a form of reunion tour for many of its C-suite executives. Previous to constructing chips the scale of dinner plates, the staff was liable for Sea Micro, an organization based in 2007 that finally offered to AMD for greater than $330 million in 2012.

Cerebras Programs is now valued at greater than $4 billion.

I interviewed Cerebras Programs co-founder and CEO Andrew Feldman to learn the way his firm was bellying as much as the {hardware} bar in 2022 — an period marked by massive tech’s domination of the AI trade.

Feldman appeared unaffected by the prospect of competitors from Silicon Valley’s elite.

In accordance with him, Cerebras was constructed from the bottom as much as tackle all comers:

From day one we needed to be within the Laptop Historical past Museum. We needed to be within the corridor of fame.

That may sound like hubris to the outsider, however the dog-eat-dog world (or extra aptly, big-dog-buys-little-dog-and-absorbs-its-technology world) of pc {hardware} isn’t any place for the meek.

To ensure that Cerebras to make its mark, Feldman and his staff relied on their confirmed monitor report of success and ultra-high ambitions to safe entry into the market.

Per Feldman:

We’re system builders, which suggests we’re unafraid of adverse issues… when you’re 100-times higher than (massive tech’s greatest efforts) then there’s nothing they’ll do.

So the massive query is, are Cererbras’ humongous chips that significantly better than the competitors’s?

The reply: there actually isn’t any competitors. Its chips are greater than 50X bigger than the most important GPU available on the market (the form of chip usually used to coach machine studying programs).

In accordance with Cerebras’ web site, the corporate’s CS-2 system, constructed on its WSE-2 “wafer” chips, can change a whole rack of processors usually used to coach AI fashions:

A single CS-2 usually delivers the wall-clock compute efficiency of many tens to a whole bunch of graphics processing models (GPU), or extra. In a single system lower than one rack in measurement, the CS-2 delivers solutions in minutes or hours that may take days, weeks, or longer on massive multi-rack clusters of legacy, basic objective processors.

Primarily based on the benchmarks the corporate’s revealed, the CS-2 not solely presents efficiency benefits, but it surely additionally has the potential to massively cut back the quantity of energy consumed throughout AI coaching periods. It is a win for companies attempting to resolve extraordinarily exhausting issues and for the planet.

To study extra about Cerebras Programs, try the white paper for the CS-2 right here and the corporate web site right here.

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