Search Results for "nvidia container runtime"
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Showing 8 open source projects for "nvidia container runtime"
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. ... -
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CUDA API Wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
CUDA API Wrappers is a C++ library providing high-level, modern wrappers for NVIDIA’s CUDA runtime and driver APIs, enhancing usability and efficiency. It is intended for those who would otherwise use these APIs directly, to make working with them more intuitive and consistent, making use of modern C++ language capabilities, programming idioms, and best practices. In a nutshell - making CUDA API work more fun. -
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Testcontainers Go
Testcontainers for Go is a Golang library that provides a friendly API
Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done. -
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do - Dependency Injection
A dependency injection toolkit based on Go 1.18+ Generics
do - Dependency Injection is a lightweight dependency injection toolkit for Go that implements the DI pattern using the language’s generics system to provide strong type safety and minimal runtime overhead. The library offers a service container that allows developers to register, resolve, and manage application dependencies in a structured and maintainable way. It supports multiple service lifecycles such as eager, lazy, and transient loading, along with circular dependency detection and interface binding. The toolkit is designed to improve modularity, testability, and scalability in Go applications by reducing tight coupling between components. ... -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the... -
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mobx-state-tree
Full-featured reactive state management without the boilerplate
Technically speaking, MobX-State-Tree (also known as MST) is a state container system built on MobX, a functional reactive state library. This may not mean much to you, and that’s okay. I’ll explain it like this: MobX is a state management "engine", and MobX-State-Tree gives it structure and common tools you need for your app. MST is valuable in a large team but also useful in smaller applications when you expect your code to scale rapidly. And if we compare it to Redux, MST offers better... -
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EASTL
EASTL, Electronic Arts Standard Template Library
EASTL stands for Electronic Arts Standard Template Library. It is a C++ template library of containers, algorithms, and iterators useful for runtime and tool development across multiple platforms. It is a fairly extensive and robust implementation of such a library and has an emphasis on high performance above all other considerations. If you are familiar with the C++ STL or have worked with other templated container/algorithm libraries, you probably don't need to read this. ... -
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AWS CodeBuild curated Docker images
AWS CodeBuild repository for managed Docker images
When you call AWS CodeBuild to run a build, you must provide information about the build environment. A build environment represents a combination of operating system, programming language runtime, and tools that CodeBuild uses to run a build. The master branch will sometimes have changes that are still in the process of being released in AWS CodeBuild. When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported repository type. These include the CodeBuild Docker image repository, publicly available images in Docker Hub, and Amazon Elastic Container Registry (Amazon ECR) repositories that your AWS account has permission to access. ...
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