Workload-optimized images provide a single source of trusted, performance-tuned OS images combined with preinstalled software stacks to support specialized workloads. These images remove the need for manual image building.
Cloud de Confiance by S3NS offers customized workload-optimized images to assist with running your applications and workloads:
- Advanced Compute Images (Preview)
- HPC VM images
- Deep Learning VM Images
Advanced Compute Images
Advanced Compute Images provide high-performance images to support your artificial intelligence (AI), machine learning (ML), and high performance computing (HPC) workloads on Cloud de Confiance by S3NS.
Advanced Compute Images are preconfigured with specialized drivers and tools so you can deploy compute-heavy workloads without manual image building. Each image version is configured with the necessary drivers, network fabrics, and Slurm agents to help you run your workloads.
For more information, see Overview of Advanced Compute Images.
HPC VM images
The following HPC VM images are available for creating Compute Engine instances that are optimized to run HPC workloads on Cloud de Confiance by S3NS:
Rocky Linux 8:
- Image family:
hpc-rocky-linux-8 - Image project:
cloud-hpc-image-public
- Image family:
Rocky Linux 9:
- Image family:
hpc-rocky-linux-9 - Image project:
cloud-hpc-image-public
- Image family:
For information about this workload-optimized image, see Overview of HPC VM images.
Deep Learning VM Images
Deep Learning VM Images are a set of images optimized for data science and machine learning (ML) tasks. All images come with key ML frameworks and preinstalled tools. You can use these images without additional configuration on instances with attached GPUs to accelerate your data processing tasks.
Deep Learning VM Images are available to support many combinations of frameworks and processors. There are images supporting TensorFlow Enterprise, TensorFlow, PyTorch, and generic high performance computing, with versions for both CPU-only and GPU-enabled workflows.
For information about the available Deep Learning VM Images, see Supported framework versions.