Machine Image Catalogue
Deep Learning SWI
Overview
The Supercloud Deep Learning Image is optimised for high performance GPU-based machine learning workloads in either research or production environments. It includes Tensorflow and Pytorch for deep learning, and a suite of popular tools, such as Scikit-Learn and Jupyter, for other data science and data preparation tasks.
Operating System
Ubuntu 20.04 LTS Focal Fossa
Packages
- Tensorflow 2.7
- Pytorch 1.10
- Scikit-Learn 1.0.2
- Python 3.9
- Pandas 1.3.5
- Matplotlib 3.5.0
- Rapids 22.02
- Cuda Toolkit 11.5
- Jupyter Client 7.1.0
- Jupyter Server 1.4.1
- PIP 21.3.1
- Graphviz 0.19.1
- Torchvision 0.11.3
- Torchaudio 0.10.2
- And more
Drivers
- NVIDIA Driver 470.129.06
- CUDA 11.4
- cuDNN 8.1.1
Usage
See https://betasupport.supercloud.co/help/how-to-use-the-deep-learning-swi
Support
support@supercloud.co
GPU Base SWI
Windows 10
Windows Server 2022
Ubuntu 20.04 LTS
Ubuntu 18.04 LTS
Ubuntu 16.04 LTS
Ubuntu 14.04 LTS
Interfaces & Compatibility
Supercloud Command Line Interface
Overview
The Supercloud Command Line Interface (CLI) is a powerful and extensive tool for managing your Supercloud resources. The CLI allows you to control Supercloud services and can be used to automate machine learning or any other process through scripts.
The CLI allows you to manage services including:
- Identity
- Images
- Compute
- Networking
- Security
- Block storage
- Object storage
Usage
The Supercloud CLI can be easily installed using pip on all popular operating systems. It is based on Openstack, and the complete reference documentation is available here: https://docs.openstack.org/python-openstackclient/latest/cli/index.html
Support
Supercloud Application Programming Interface
Storage Solutions
Ephemeral Storage
Overview
Ephemeral storage is included by default with all Supercloud instances. The storage is attached to an instance in the form of a file system as a part of the provisioning process. This makes it easy to get up and running quickly without worrying about storage.
Ephemeral storage is volatile and is deleted permanently when you terminate your instances and should only be used for storing temporary data. This includes common operating system (OS) files, caches, buffers, etc.
Suprercloud ephemeral storage is up to 6TB depending on the instance type, and is backed by high-IOPS NVMe Generation 3 drives.
Usage
Launch an instance as described here: https://betasupport.supercloud.co/help/how-to-create-a-supercloud-vm-instance
Your ephemeral storage will be automatically mounted at /mnt
Support
Block Storage
Object Storage
File Storage
Virtual Infrastructure
Supercloud Virtual Networking
Overview
Supercloud includes Networking-as-a-Service (NaaS) in a virtual environment. This service allows you to create multiple private networks and control their IP Addresses. You can also create virtual routers, load balancers and manage floating IPs.
Usage
All of this can be managed by either the console, the CLI or the API.
Support
Instance Types
A1 Series Instance Types - Accelerated
Overview
A1 is Supercloud’s deep learning, AI specialist. All instances feature AMD EPYC 7452 processors, up to 3.35ghz clock speed, A100 40GB GPUs on the HGX platform with NVLink, 200gb InfiniBand networked with Bluefield 2 DPUs, and up to 15.6tb direct attached storage. All direct attached storage is NVMe, Gen 4, up to 800k IOPS.
A1 instance types come in flavours ranging from single GPUs to muti-GPU NVLink connected options.
Usage
See https://betasupport.supercloud.co/help/how-to-create-a-supercloud-vm-instance
Support
support@supercloud.co
B1 Series Instance Types - Graphics Optimised
C1 Series Instance Types - Compute Optimised
Get in touch
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