Search Results for "libraries"

...Quarkus provides a cohesive, fun-to-use, full-stack framework by leveraging a growing list of over fifty best-of-breed libraries that you love and use. All wired on a standard backbone. The combination of Quarkus and Kubernetes provides an ideal environment for creating scalable, fast, and lightweight applications. Quarkus significantly increases developer productivity with tooling, pre-built integrations, application services, and more.

A fast and low-memory footprint OCI Container Runtime fully written in C. While most of the tools used in the Linux containers ecosystem are written in Go, I believe C is a better fit for a lower-level tool like container runtime. runc, the most used implementation of the OCI runtime specs written in Go, re-execs itself and uses a module written in C for setting up the environment before the container process starts. crun aims to be also usable as a library that can be easily included in...

...However, configuring and managing nodes with these hardware resources requires the configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labeling, DCGM-based monitoring, and others.

JAX Toolbox is a development toolkit designed to streamline and optimize the use of JAX for machine learning and high-performance computing on NVIDIA GPUs. It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA...

CNI (Container Network Interface), a Cloud Native Computing Foundation project, consists of a specification and libraries for writing plugins to configure network interfaces in Linux and Windows containers, along with a number of supported plugins. CNI concerns itself only with network connectivity of containers and removing allocated resources when the container is deleted. Because of this focus, CNI has a wide range of support and the specification is simple to implement.

The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container...

...It demonstrates how to wire up small microservices and build up a larger application using microservice architectural principles. It's mainly building for the .NET ecosystem with a lot of popular libraries and toolkits that have been used by the .NET community for a long time. Additionally, it uses and experiments with new components and libraries to build modern applications with a cloud-native apps approach.