AMD has formally confirmed its Naples server-oriented Zen architecture processor, designed for those with need of wider threading support than the consumer-oriented Ryzen family, will offer 32 cores and 64 threads with support for up to two processors per board.
AMD has been telling the world+dog about its next generation Zen-based server platform, codenamed Naples.
Key features of the Naples CPU include a highly scalable 32-core SoC design with support for two high-performance threads per core and industry leading memory bandwidth with support for up to 32 dimms on 16 memory channels in a dual socket server. This is double the memory channels, higher memory and more cores than a similar Intel Xeon E5-2699A V4 based server.
The Naples system had a higher memory capacity and that memory was clocked much higher too - 2400MHz versus 1866MHz.
The wait seems to be over and AMD is ready to show more details regarding their Naples server processors, which will launch in the second quarter of this year with full availability of processors and motherboards from OEMs and system integrators.
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Intel's competing Xeon E5 parts top out at 22 cores and 44 threads in a single CPU. Also "Naples" supports up to 21.3GBps per channel with DDR4-2667 x 8 channels (total 170.7GBps), versus the E5-2699A v4 processor's implied 140GBps.
Just like its Ryzen CPUs are taking on their Intel counterparts in what's being seen as a potential game changer in the desktop CPU segment, AMD's Naples chips are also optimized to lock horns with Intel's Xeon processors and improve its stake in the server market.
The only thing that AMD didn't provide were the prices, but it did say that they should be in the shops in Q2 this year.
According to AMD, this preview is the company's first step into "re-asserting its position as an innovator in the datacentre and returning choice to customers in high-performance server CPUs". This groundbreaking system-on-chip delivers the unique high-performance features required to address highly virtualised environments, massive data sets and new, emerging workloads.