DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Updated
Jun 26, 2024 - Python
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Tensors and Dynamic neural networks in Python with strong GPU acceleration
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
Copy-hiding array abstraction to automatically migrate data between memory spaces
The open-source serverless GPU container runtime.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
KDE Plasma Desktop container designed for Kubernetes with direct access to the GPU with EGL using VirtualGL and Vulkan with WebRTC and HTML5, providing an open-source remote cloud graphics or game streaming platform. Does not require /tmp/.X11-unix host sockets or host configuration.
KDE Plasma Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open-source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X Server, not requiring /tmp/.X11-unix host sockets or host configuration.
Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
a language for fast, portable data-parallel computation
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