Packs

2 packs

GKE Batch & Inference

For teams running batch/HPC and AI/ML inference workloads on GKE with specialized hardware.

2 skills · pack

Softnano Plugins

Shared skills for the SoftNano lab — HPC job monitoring, code review, literature search, DOI lookup, and more

13 skills · pack

Results for “hpc”

6 skills

Runs batch processing and high-performance computing (HPC) workloads on Google Kubernetes Engine (GKE), including job queues, parallel processing, and MPI workloads.

azure-compute-batch-java

Run large-scale parallel and HPC batch jobs on Azure using the Batch SDK for Java, managing pools, jobs, tasks, and compute nodes.

More results

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.

tao-finetune-huggingface-model

Fine-tune HuggingFace CV, VLM, or LLM models on local NVIDIA GPUs using an NGC PyTorch container, with support for full or LoRA training, dataset handling, and optional model push to the Hub.

mcore-run-on-slurm

Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.