Intel's new Xeon Phi to feature 128 threads, support for 384GB of DDR4

Intel's upcoming Silvermont-based Xeon CPU will support up to 72 cores, as well as 384GB of DDR4 RAM.

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Intel has provided more details on its upcoming Xeon Phi line of processors, which will see up to 72 cores on a single processor, thanks to the Silvermont architecture. Not only that, but we can expect up to 384GB of DDR4, too.

Intel's new Xeon Phi to feature 128 threads, support for 384GB of DDR4 02

Not only that, but the current prototype of the Xeon Phi coprocessor is capable of handling up to 32 cores, with each core capable of handling four threads for a total of 128 threads. Currently, we 8-core processors with 16 threads in total thanks to Hyper-Threading on the consumer side of the market. These new Xeon Phi processors would handle up to 36MB of shared L2 cache, and up to 16GB of the new stacked High Bandwidth Memory (HBM).

Intel's new Xeon Phi to feature 128 threads, support for 384GB of DDR4 03

All in all, we can expect a six-channel DDR4 memory controller that can handle 2400MHz, and up to 384GB of DDR4 RAM. This is up from the quad-channel memory architecture we know and love with the X99 chipset from Intel, and the current flagship processor: the Core i7-5960X. It's interesting to note that we're seeing Intel move into HBM quickly.

The Silvermont architecture has Intel being able to promise 300% more single threaded performance over the previous generation of Xeon Phi co-processors, and up to 300% better power efficiency.

NEWS SOURCE:wccftech.com

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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