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    Deep Learning, GPU Computing, News

    Megatron Unleashed: NVIDIA’s NLP Model “Megatron-LM” is the Largest Transformer Ever Trained

    Megatron-LM: Entering the Frontiers of NLP If you’ve followed the latest advancements in Natural Language Processing (NLP), you’ll know that Transformer Models are all the latest craze. These language models…

    Exxact Corporation, August 13, 2019 0 3 min read
    Deep Learning, GPU Computing, HPC, Molecular Dynamics

    A Summary of DeepMind’s Protein Folding Upset at CASP13

    At last year’s Critical Assessment of protein Structure Prediction competition (CASP13), researchers from DeepMind made headlines by taking the top position in the free modeling category by a considerable margin,…

    Marketing, June 11, 2019 0 8 min read
    Deep Learning, GPU Computing

    Examining the Transformer Architecture – Part 2: A Brief Description of How Transformers Work

    This post was written by Nityesh Agarwal in collaboration with and sponsorship of Exxact (@Exxactcorp). As we learned in Part 1, The GPT-2 is based on the Transformer, which is being…

    Marketing, June 3, 2019 0 6 min read
    Deep Learning, GPU Computing, News

    What You Missed: Exxact at GTC 2019

    Major Annoucement Announced during the GTC keynote by NVIDIA co-founder, Jensen Huang, Exxact will be offering workstations optimized for data-science, along with being one of the partners. What We Showcased…

    Exxact Corporation, March 22, 2019 0 3 min read
    Deep Learning, GPU Computing

    Is Docker Ideal for Running TensorFlow GPU? Let’s measure using the RTX 2080 Ti

    Note: This blog compares only the performance of TensorFlow for the training deep deep neural networks. TensorFlow can be compiled for many different use cases, as with TensorFlow GPU Docker…

    Exxact Corporation, January 14, 2019 0 16 min read
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