Showing 3 open source projects for "network data speed"

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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
    Learn More
  • Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud. Icon
    Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.

    Power faster innovation with Teradata VantageCloud

    VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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  • 1
    Tokio

    Tokio

    A runtime for writing reliable asynchronous applications with Rust

    Build reliable network applications without compromising speed, with Tokio! Tokio is an event-driven, non-blocking I/O platform and asynchronous runtime for the Rust programming language that allows you to write reliable and slim network applications. At a high level, Tokio provides a number of components needed for building asynchronous applications.
    Downloads: 0 This Week
    Last Update:
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  • 2
    TensorRT

    TensorRT

    C++ library for high performance inference on NVIDIA GPUs

    ...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. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. ...
    Downloads: 26 This Week
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  • 3
    workerd

    workerd

    The JavaScript / Wasm runtime that powers Cloudflare Workers

    workerd is the server runtime that powers Cloudflare Workers — a modern, standards-aligned JavaScript and WebAssembly execution environment that can be run outside of Cloudflare’s global edge network as a standalone server or proxy. Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. ...
    Downloads: 4 This Week
    Last Update:
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