Running AI natively on IBM i
LLaMa.cpp
Section titled “LLaMa.cpp”Solution report card
| Runs on IBM i? | ✅ | |
| On-prem | ✅ | |
| IBM Cloud | ✅ | |
| AI capabilities | Large Language Models | |
| Commercial support | ❌ | |
| Free to try? | ✅ | |
| Requirements | IBM i Open Source |
LLaMa.cpp is becoming a popular industry solution for running Large Language Models (LLMs). It can now be run natively on IBM i!
In the near future, LLaMa.cpp will likely be available as an IBM i RPM and
installable with the yum package manager
In the meantime, you can build and deploy LLaMa.cpp yourself by following the steps documented in this deployment guide
scikit-learn (SKLearn)
Section titled “scikit-learn (SKLearn)”Solution report card
| Runs on IBM i? | ✅ | |
| On-prem | ✅ | |
| IBM Cloud | ✅ | |
| AI capabilities | Machine Learning Deep Learning | |
| Commercial support | ❌ | |
| Free to try? | ✅ | |
| Requirements | IBM i Open Source |
scikit-learn provides robust machine learning capabilities for Python programs. It provides support for a number of capabilities including classification, regression, and clustering.
The SciKit-Learn packages for Python are available in RPM form and can be installed via:
/QOpenSys/pkgs/bin/yum install python39-scikit-learn