Showing 5 open source projects for "gpu-z"

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  • 1
    TensorRT

    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,...
    Downloads: 12 This Week
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  • 2
    OpenShell

    OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI...
    Downloads: 1 This Week
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  • 3
    OpenGeni

    OpenGeni

    Open, self-hostable agentic runtime for organizations

    ...Human approvals and structured input can pause specific tool calls and later resume them from the same state. Sessions can run inside managed sandboxes or directly on enrolled laptops, servers, and GPU machines without requiring inbound network exposure. OpenGeni also manages agent knowledge, searchable documents, credentials, repositories, goals, and working files under workspace-level access controls. It is designed as infrastructure beneath agents rather than as a single predefined assistant.
    Downloads: 0 This Week
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  • 4
    NVIDIA Container Toolkit

    NVIDIA Container Toolkit

    Build and run Docker containers leveraging NVIDIA GPUs

    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.
    Downloads: 0 This Week
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    Intel compute-runtime

    Intel® Graphics Compute Runtime

    The Intel(R) Graphics Compute Runtime for oneAPI Level Zero and OpenCL(TM) Driver is an open source project providing compute API support (Level Zero, OpenCL) for Intel graphics hardware architectures (HD Graphics, Xe).
    Downloads: 0 This Week
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