HPC, AI Factory &
Scientific Computing
Explore software used across high performance computing, GPU infrastructure, research workloads and scientific Python. Find upstream documentation, known project sources and reviewed setup notes.
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Software for technical workloads
HPC Cluster Management
Schedulers and cluster management systems.
Explore →02HPC Development and Runtime
MPI, communication runtimes, and systems libraries.
Explore →03HPC Containers and Environments
Portable containers and software environment tooling.
Explore →04AI Factory and GPU Infrastructure
GPU infrastructure, inference, and AI platform software.
Explore →05AI Models and Model Runtimes
Model runtimes and separately identified model records.
Explore →06Scientific Computing and Simulation
Scientific applications, simulation, solvers, and visualization.
Explore →07Python and Scientific Python
Python packages and scientific computing tools.
Explore →08Workflow and Experiment Management
Scientific workflow and experiment tracking tools.
Explore →09Monitoring, Performance and Visualization
Performance analysis, telemetry, monitoring, and visualization.
Explore →Featured references
Upstream links help confirm current setup details and compatibility.
NumPy
Core Python arrays and numerical computing library.
View technical details →PythonPyTorch
Machine learning framework with CPU and accelerator installation choices.
View technical details →SoftwareSlurm
Open-source workload manager for allocating cluster resources and running batch and parallel jobs.
View technical details →RuntimevLLM
Inference and serving engine for supported language-model workloads.
View technical details →Plan software around your cluster
Hardware, drivers, operating systems, schedulers and licenses all affect deployment. Share the actual environment and workload with the MCR Tech team.