6TB if memory? That's more than every Sinclair spectrum manufactured, put together. In fact it might be more than every 8 bit home computer in the UK.
Superdome X gets pumped on Skylake to become Superdome Flex
HPE has upgraded its Superdome X server to use Skylake CPUs, bragging that it's the world's most scalable and modular in-memory computing platform. Superdome is HP's line of mission-critical, highly available servers that used Intel Itanium processors and have moved to using Xeons. The Superdome X takes x86 Xeon E7 v4 CPUs. …
COMMENTS
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Monday 6th November 2017 18:20 GMT Anonymous Coward
Superdome in name only
I was reading the article and wondering: why do those specs sound so familiar, as if I have seen them before? And then I remembered: Hewlett Packard Enterprise acquires SGI.
It is nice to see that the SGI UV line lives on - even if the name is gone.
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Tuesday 7th November 2017 07:54 GMT ManMountain1
Re: I've been
I accept your comment in that hardware vendors might be expected to have a hard time in coming years, but I can't see HPE disappearing up in smoke before any others do. It may have got smaller but the hardware bit of it is still ticking along and still generating a tidy profit.
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Tuesday 7th November 2017 10:19 GMT Anonymous Coward
Scale-out?
SAP Hana and analytics are scale-out clustered workloads. Hana runs fine on a cluster, as it is scale-out. Hana is for analytics, and runs fine on lot of nodes in parallel. Then we have the standard SAP, which is not for analytics, and that SAP runs on non-cluster, scale-up server for OLTP storage of data. OLTP SAP = non clustered, scale-up. HANA = clustered scale-out workload. SGI never had large scale-up non clustered servers (the biggest was 8-sockets or so?). SGI had large scale-out clustered servers such as UV2000, Altix, etc - with 10.000 of cores.
So, this can run Hana clustered workloads well, bu I wonder if this can run non clustered workloads well? Such as ordinary standard SAP? What are the SAP scores? The Fuijtsu SPARC M10-4S with 24-sockets (?) has around 840.000 SAPS. Or was it 32-sockets? I dont remember. But Fujiutsu M10-4s scales up to 64-sockets.
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Wednesday 8th November 2017 09:51 GMT Anonymous Coward
Re: Scale-out?
Theres not a single benchmark published with Superdome Flex besides the many press claims, so my guess is that its performance isn't that great. Although HPE makes it sound like a scale up system, the only real part of it being scale-up is that it runs a single OS across the clustered boxes. Its essentially a glorified clustered solution. Any real scale-up Database like Oracle Database and its in-memory option probably won't even run on this system as the system bandwidth and especially bisection bandwidth across all the nodes must be horrible especially at scale. And what about JVM performance to run BigData/Analytics type workloads? Don't see any benchmarks there either. There is talk about an SAP SD 2-Tier result but I don't see it published. The previous fastest Superdome X with 16 x Xeon E7-8890 v4@2.20 (384-cores) delivered 644,830 SAPs. Assuming that the Xeon Platinum 8180 @2.50Ghz is ~20% faster/core than Xeon E7-8890 v4 @2.2GHz (that’s what the HPE Dl580 Gen 9 vs 10 shows) and assuming the SD Flex scales similarly, a 16 x Xeon Platinum 8180 (448-cores) should achieve around 900K SAPs (that’s ~2K SAPs/core). Looking at the SAPs benchmark, the leader is currently the SPARC M7-8 (256-cores) @ 713K SAPs. Oracle recently launched the SPARC M8 which appears to be ~40% faster/core, so an SPARC M8-8 should scale to well over 920K SAPs. So an SPARC M8-8 will easily outperform a Flex 16-socket with ~1.8x faster/core performance. That’s quite a considerable difference when you license the Database on per core basis! And the Fujitsu SPARC M12-s, scaling to 32 x sockets (384 x cores) looks to be about another 25% faster/core vs SPARC M8 so this system looks to still be the leader across all systems!
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