SOSCIP's Advanced Computing Platforms

A High-Performance Combination You Won't Find Anywhere Else

The SOSCIP advanced computing platforms feature three distinct and unique systems that provide academic and industry researchers with a competitive advantage not available anywhere else in Canada. Our technology is bolstered by high-level technical support from our experts at the University of Toronto and Western University.

GPU-Accelerated Platform

Delivering the fastest performance on a wide variety of GPU computing applications, running on the Mist Cluster.

Technical Specifications

The new SOSCIP GPU-Accelerated Platform is a high-performance GPU cluster based on IBM Power System AC922 powered by NVIDIA Tesla V100 GPUs and IBM Power9 CPUs.

The systems have NVLink 2.0 technology to accelerate computing by allowing for greater speed, programmability and accessibility of data.

  • 148 GPU-equivalent allocation on SOSCIP-SciNet cluster Mist
  • 54 IBM AC922 servers each with 2×16 core Power9 GPU and 256GB RAM
  • Each compute node has 4 NVIDIA Tesla V100 GPUs with 32GB of RAM and CUDA capability 7.0 (Volta),
  • GPUs are connected to the Power9 CPUs via NVLink.
  • The OS is Red Hat Enterprise Linux 8 for Power9 (Little Endian)


The new SOSCIP GPU-Accelerated Platform supports popular AI, Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch provided as Python Wheels and Conda packages from Watson Machine Learning Community Edition (PowerAI).

Ideal for batch computing big data applications such as:

  • Deep learning with training /inference over large models
    • Language Modelling
    • Medical Image Analysis
    • Video Processing
    • Physics/Chemistry Modelling
    • Parallel Processing
  • Simulation
    • Computational Fluid Dynamics
    • Molecular Dynamics codes (NAMD, Gromacs, etc)
    • Geomechanics
    • Climate Simulation

Parallel CPU Platform

The SOSCIP Parallel-CPU platform is a homogeneous high-performance system attached to the SciNet supercomputer Niagara.

Technical Specifications

  • Designed to enable large parallel jobs in order to optimize throughput of a range of scientific codes running at scale, energy efficiency, and network and storage performance and capacity.
  • The platform provides 2880 core-equivalent allocation on Niagara.
  • Each compute node (based on Lenovo SD530 server) has 40 Intel Skylake/Cascade-Lake cores with 202GB (188 GiB) of RAM.
  • A fast 100Gbit Infiniband network is connected in a ‘Dragonfly+’ topology with Adaptive Routing


Ideal for running parallel code that cannot obtain cost-efficient speedup through GPUs such as:

  • Molecular modelling and drug discovery
  • Simulation and modelling
  • Computational Fluid Dynamics codes (OpenFoam, Nek5000, etc)
  • Quantum Chemistry codes (VASP, CP2K, etc)

Cloud Analytics Platform

The SOSCIP cloud analytics platform is the first research-dedicated cloud environment in Canada.  The SOSCIP cloud is unique in that it provides access to a broad array of IBM software tools for application development and data analytics which can be combined with user-specific and other open-source software to create customized virtual machines to meet project demands.

Technical Specifications

The SOSCIP cloud platform is based on OpenStack, and provides users with a self-serve big data analytics computing environment.

  • Running on a cluster of Intel Xeon and IBM Power hypervisors
  • 4672 CPU cores, 30TB of RAM, and 850TB of disk storage in total
  • 60 NVIDIA P100 and 16 NVIDIA T4 GPUs
  • Supports Red Hat Enterprise Linux, Ubuntu and CentOS
    IBM analytics software including Streams, Cognos Analytics, DB2 and others


The Cloud Analytics Platform is ideal for:

  • Image Processing
  • Cybersecurity
  • Text Analytics
  • Medical Records Analytics
  • Real-time Analytics
  • Machine Learning
  • Document Filtering
  • Energy Systems Data Analytics

Use of SOSCIP’s computing platforms are governed by our Terms of Use.