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™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  • 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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • 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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