Facebook lined up the Tilera-based Quanta servers against a number of different server configurations making use of Intels four-core Xeon L5520 running at 2.27GHz and eight-core Opteron 6128 HE processors running at 2GHz. Both of these x64 chips are low-voltage, low power variants. Facebook ran the tests on single-socket 1U rack servers with 32GB and on dual-socket 1U rack servers with 64GB.All three machines ran CentOS Linux with the 2.6.33 kernel and Memcached 1.2.3h.
via Tilera routs Intel, AMD in Facebook bakeoff • The Register.
You will definitely want to read this whole story as presented El Reg. They have a few graphs displaying the performance of the Tilera based Quanta data cloud in a box versus the Intel server rack. And let me tell you on certain very specific workloads like the Web Caching using Memcached I declare advantage Tilera. No doubt data center managers need to pay attention to this and get some more evidence to back up this initial white paper from Facebook, but this is big, big news. And all one need do apart from tuning the software for the chipset is add a few PCIe based SSDs or TMS RamSan and you have what could theoretically be the fastest possible web performance possible. Even at this level of performance, there’s still room to grow I think on the hard drive storage front. What I would hope in future to see is Facebook do an exhaustive test on the Quanta SQ-2 product versus Calxeda (ARM cloud in a box) and the Seamicro SM-10000×64 (64bit Intel Atom cloud in a box). It would prove an interesting research project just to see how much chipsets, chip architectures and instruction sets play in optimizing each for a particular style and category of data center workload. I know I will be waiting and watching.
- Rise of the Low-Power Servers (hardware.slashdot.org)
- Is a Sea Change Coming in the Server Market? (datacenterknowledge.com)
- Tilera’s 100-core processors take on Sandy Bridge (news.cnet.com)
- Facebook sides with Tilera in the server architecture debate (gigaom.com)
- New Tilera Chips Target Largest Data Centers (datacenterknowledge.com)