Gpu Operator
NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
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Results: 82
NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
jpmorganchase
Python training for business analysts and traders
jpetazzo
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
mlcommons
Reference implementations of MLPerf® training benchmarks
open-edge-platform
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
kangarooking
当用户需要做方向性判断、评估「该往哪走/这事靠谱吗」、或想提升决策能力时调用。 核心理念: 判断力(知道行为长期后果)比努力重要; 清晰思考=从基础学科重建推理; 收集心智模型(复利/委托代理/可证伪性/基础数学)。 不适用于: 需要立即执行的具体任务步骤。 Triggers: 判断力/方向/第一性原理/心智模型/思维模型/判断靠不靠谱…
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
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…
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
dstackai
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
kubeflow
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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