Nvidia Fiscal Q3 2022 Financial Result

This page summarizes the projects mentioned and recommended in the original post on /r/nvidia

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  • TensorRT

    NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

    New capabilities in the open source NVIDIA Triton Inference Server software, which provides cross-platform inference on all AI models and frameworks, and NVIDIA TensorRT™, which optimizes AI models.

  • Megatron-LM

    Ongoing research training transformer models at scale

    Described a collaboration involving NVIDIA Megatron-LM and Microsoft DeepSpeed to create an efficient, scalable, 3D parallel system capable of combining data, pipeline and tensor-slicing-based parallelism.

  • Sonar

    Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • server

    The Triton Inference Server provides an optimized cloud and edge inferencing solution. (by triton-inference-server)

    Tools for developing and deploying large language models: NVIDIA NeMo Megatron, for training models with trillions of parameters; the Megatron 530B customizable LLM that can be trained for new domains and languages; and NVIDIA Triton Inference Server™ with multi-GPU, multinode distributed inference functionality.

  • DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

    Described a collaboration involving NVIDIA Megatron-LM and Microsoft DeepSpeed to create an efficient, scalable, 3D parallel system capable of combining data, pipeline and tensor-slicing-based parallelism.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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