Stars
Efficient Triton Kernels for LLM Training
The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.
BlueLM(蓝心大模型): Open large language models developed by vivo AI Lab
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
DPU-Powered File System Virtualization over virtio-fs
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
Hackable and optimized Transformers building blocks, supporting a composable construction.
NVIDIA Linux open GPU kernel module source
A CNI meta-plugin for multi-homed pods in Kubernetes
An implementation of Netflix's Chaos Monkey for Kubernetes clusters
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
A general purpose, scale-to-zero component for Kubernetes
A Kubernetes implementation of the Open Application Model specification
A Cloud Native Batch System (Project under CNCF)
Mirror of https://gitlab.redox-os.org/redox-os/redox
Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
A platform for building proxies to bypass network restrictions.
[EOL] A Firmament-based Kubernetes scheduler
Automated management of large-scale applications on Kubernetes (incubating project under CNCF)
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
Kubernetes IN Docker - local clusters for testing Kubernetes
P2P Docker registry capable of distributing TBs of data in seconds
Home for Cluster API, a subproject of sig-cluster-lifecycle