mmcclean-aws

SA Manager, Annapurna ML

Amazon Web Services

Pinned Repositories

autoscaler
Autoscaling components for Kubernetes
Language:Go8.1k 139 2.3k4k
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Language:Python0 0 00
k8s-autoscaler
Autoscaling components for Kubernetes
Language:Go0 0 02
ml-specialized-hardware
Language:Jupyter Notebook0 0 00
optimum-neuron
Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
Language:Python0 0 00
skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Language:Python00
skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Language:Python6.8k 70 1.9k514
bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
Language:Python5.8k 48 968584

mmcclean-aws/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Language:Python0 0 00
mmcclean-aws/k8s-autoscaler
Autoscaling components for Kubernetes
Language:Go0 0 02
mmcclean-aws/ml-specialized-hardware
Language:Jupyter Notebook0 0 00
mmcclean-aws/optimum-neuron
Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
Language:Python0 0 00
mmcclean-aws/skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Language:Python00