More Support Emerges for Low-Power Server Chips

Texas-based start-up Calxeda has won an extra $55 million in funding for ARM-based server chips

2 min read
More Support Emerges for Low-Power Server Chips

The competition for cooler servers is heating up. This week, Austin-Tx.-based start-up Calxeda announced it received another US $55 million in funding, which could help propel its chips into a server market that's struggling to keep down power consumption. But the company faces steep competition.

Founded in 2008, Calxeda made waves last year when Hewlett-Packard announced it was working with the company to develop a new line of low-power HP servers. Calxeda’s server chip is based on 32-bit designs from ARM, which licenses IP to nearly every smartphone chipmaker. The company reckons servers built with its chips will consume much less power and space than those built with today’s 100-Watt behemoths. 

This latest cash infusion, which includes investments from Austin Ventures and Microsoft co-founder Paul Allen’s Vulcan Capital, is an added vote of confidence for Calxeda and a sign that the company might just be on to something.

When I spoke with Karl Freund, Calxeda’s VP of Marketing earlier this year, he said low-power chips will help offer more choice in a server industry dominated by high-speed options: “What you’ll see is the industry will go from a one-size-fits-all model to tailored solutions, much in the same way you see in the cell phone business.”

Freund said Calxeda isn’t aiming for the entire server market. Instead the company is looking at a growing segment of server applications, like processing web search results, that can be broken down into bite-sized computational chunks. Those sorts of workloads can be “scaled out,” meeting increased demand by simply adding more processors.

But Calxeda isn’t the only company with this idea. It's not even the only company whose chips Hewlett-Packard is using for this idea. HP is moving forward with similar “microservers” made with low-power Intel Atom chips. Then there is Sunnyvale, Calif.-based chipmaker AppliedMicro, which is pursuing 64-bit server chips, also based on ARM designs. Even Samsung seems to be getting into the game with its own ARM-based CPUs. It will take a while to see how these bids all shake out, but the next couple of years are shaping up to be pretty interesting.

(Image: Calxeda)

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The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read
Image of a computer rendering.

This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds
DarkBlue1

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

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