Gpu Operator
NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
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NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
jindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
tianshiyeben
Linux运维监控工具,支持系统硬件信息,内存,CPU,温度,磁盘空间及IO,硬盘smart,GPU,防火墙,网络流量速率等监控,服务接口监测,大屏展示,拓扑图,端口监控,进程监控,docker监控,日志监控,文件防篡改,数据库监控,指令批量下发执行,web ssh,Linux面板(探针),告警,SNMP监测,K8S,Redis,Ngi…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lupinemachines
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
mratsim
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
dstackai
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
CVCUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
openlit
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Inte…
graphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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