The launch of the Visual Computing Appliance (below) was the big news from the keynote by Nvidia CEO Jen-Hsun Huang. VCA is a 4U chassis that packs up to 16 graphics processors along with two Intel Xeon CPUs and their memory sold to small and medium businesses by Nvidia's distributors at prices starting at $25,000 for a range of remote graphics applications.
After his keynote, Huang told financial analysts the appliances and bigger graphics severs Nvidia's customers such as Dell, HP and IBM will sell to data centers are one piece of the puzzle expanding the company's total available market to a whopping $50 billion a year. Analysts saw the figure as an inflated hope, but still took away the point Nvidia has potential beyond what's been defined as a $4-$7 billion PC graphics market.
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It looks like there was a lot going on at the show! I liked seeing the slides showing the futures for the companies and would have liked a little more detail in the article centered on speed/power and future directions (if these were covered at the show). Some neat applications, the wall display is nice but I would rather use it with a traditional keyboard/mouse and be able to sit down while I work.
@Chanj, you meant CUDA and not the country Cuba. CUDA is painful. I am going to go with XeonPhi. Much easier to program and manage and also, cheaper than "arm and a leg" that Nvidia charges. CUDA is pretty much dead in the water from now on.
Preparing Cuba for ARM is a good idea to enhance the 3D capability of a ARM based tablet and smartphone. I can already see the expansion of ARM. Question is whether Intel is able to catch up fast enough. Will MS work with Nvida to launch the next generation Surface on ARM with powerful 3D chip?
David Patterson, known for his pioneering research that led to RAID, clusters and more, is part of a team at UC Berkeley that recently made its RISC-V processor architecture an open source hardware offering. We talk with Patterson and one of his colleagues behind the effort about the opportunities they see, what new kinds of designs they hope to enable and what it means for today’s commercial processor giants such as Intel, ARM and Imagination Technologies.