GPU Computing with Apptainer!

Apptainer has been good friends with GPUs for many years. In this installment of the container education series we will explore GPU container integration in detail. We’ll talk about how it works, how to build containers that use GPUs, common pitfalls to avoid, and we’ll solve the mystery of the missing GPU. Join us for a fun, informal, and (we hope) educational discussion.


About Apptainer
As Docker brought containers into enterprise, Apptainer (formerly Singularity) brought containers into HPC with a containerization strategy that just works for HPC architectures, security models, and use cases.

Now Singularity is part of the Linux Foundation and re-released under a new name for the open source project, Apptainer.

Application Containers:
While many container systems are built, designed, and optimized for microservices, Apptainer is for applications and computational use cases.

Portable Jobs and Environments:
Apptainer allows you to bring your environments anywhere, creating extreme portability from system to system.

Trusted supply chain / Immutable / Encrypted:
Absolute trust in your environment via cryptographic key validation and encryption.
Apptainer was created to bring the benefits of container computing to HPC use cases and system architectures.

Apptainer is used pervasively throughout HPC centers as well as other community projects and even commercial vendors. The Apptainer founder and leading developers are all part of CIQ, and we provide enhanced capabilities to customers and partners.



#Webinar #Business #CIQ #Apptainer #openSource #containers #Technology #IT #SaaS #PaaS #IaaS

[mhassankhan]

Really nice stuff. Learned some behind the scene concepts. I was just thinking of integration of Apptainer container with SLURM workload manager since we are talking about HPC systems. Please add this topic for your future discussions as well. Also, running GPU enabled containers on multiple machines. How difficult / easy this is to acheive?