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ScienceCloud hardware

Overview

ScienceCloud currently provides the compute instances and storage with the following grand totals:

Computing

nodes virtual CPUs total RAM
440 21'000 105 TB

GPU-Computing

Nodes are equipped with NVIDIA Tesla T4 and P4 GPUs.

nodes GPUs virtual CPUs total RAM
22 44 608 2.5 TB

More info about GPUs on the ScienceCloud.

Storage

Block storage served by Cinder and object storage served by Swift:

type raw capacity usable capacity
Block storage 7.0 PB 2.3 PB
Object storage 1.7 PB 0.8 PB with replica-2
(or 1.2 PB with ec104)

Network

Every compute node has a non-blocking, redundant, 10gbps link to the internal network. This network is used to access the underlying storage infrastructure and provide network connectivity to the virtual machines.

The uplink to the University network is a redundant 20gbps link.

Flavors

Instances started on ScienceCloud land on different generations of CPUs depending on flavor and availability.

Current ScienceCloud hypervisors

No. nodes CPU type @ base clock Base clock Architecture CPU/vCPU RAM per node Accelerators
188 2x Intel(R) Xeon(R) E5-2640 v3 2.60 GHz Haswell 16/32 128/256 GB
100 2x Intel(R) Xeon(R) E5-2680 v4 2.40 GHz Broadwell 28/56 256 GB
96 2x Intel(R) Xeon(R) Gold 6126 2.60 GHz Skylake 24/48 384 GB
2 2x Intel(R) Xeon(R) Gold 6126 2.60 GHz Skylake 24/48 384 GB 2x nVidia P4
64 2x AMD EPYC 7702 2.0 GHz Rome 64/64 512 GB
10 2x AMD EPYC 7702 2.0 GHz Rome 64/64 512 GB 4 x nVidia T4

Both the instance root disk's data and any additionally attached volumes' data are stored on our CEPH cluster and are thus accessed via a redundant 20 or 50 gigabit network link.

To reduce fragmentation flavors are statically mapped to a specific hypervisor type. More specifically:

Flavor type Hypervisor CPU
1cpu-4ram-hpc
2cpu-8ram-hpc
4cpu-16ram-hpc
8cpu-32ram-hpc
16cpu-64ram-hpc
32cpu-128ram-hpc


Xeon E5-2640 v3
Xeon E5-2680 v4
1cpu-4ram-hpcv3
2cpu-8ram-hpcv3
4cpu-16ram-hpcv3
8cpu-32ram-hpcv3
16cpu-64ram-hpcv3
32cpu-128ram-hpcv3



AMD EPYC 7702
8cpu-64ram-hpcv2-lmem
16cpu-128ram-hpcv2-lmem
32cpu-256ram-hpcv2-lmem

Xeon Gold 6126

There are a few cases in which it is desirable to have instances backed by the same generation of hardware (i.e. custom compiled software optimized with specific flags).

This can be accomplished on request by enabling specific flavors that are bound to a specific CPU generation. You should keep in mind that the binding solution will be more prone to issues during hardware maintenance as the instances cannot be moved easily from one host to another.


Last update: July 30, 2021