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The ‘Giveaway Piggy Back Scam’ In Full Swing [2022]
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The latest generation of CPUs with built-in specialized instructions has enabled significant performance improvement in machine learning (ML) inference. This advancement results from the collaboration of industry giants AWS, Arm, and Meta, coming together to optimize the performance of PyTorch 2.0 on Arm-based processors.
With the optimization of PyTorch 2.0 on Arm-based processors, AWS Graviton-based instance inference performance has seen a remarkable increase. The performance has improved up to 3.5 times for Resnet50, and up to 1.4 times for BERT, as compared to the previous PyTorch release. In addition, the use of AWS Graviton3-based Amazon Elastic Cloud Compute C7g instances for PyTorch inference on Torch Hub Resnet50 and multiple Hugging Face models has resulted in cost savings of up to 50% and improved latency.
To fully leverage these optimizations, users can deploy AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2) C7g instances or Amazon SageMaker. Using AWS DLCs is easy, as they include optimized builds of PyTorch along with other pre-configured deep learning frameworks.
To begin using AWS DLCs, follow these simple steps:
To sum up, this innovative collaboration between AWS, Arm, and Meta has led to tremendous performance gains in PyTorch 2.0 for Arm-based processors. With substantial cost savings and improved latency, these optimizations are set to revolutionize the ML inference landscape, providing significant benefits to developers and end-users alike.
Up until working with Casey, we had only had poor to mediocre experiences outsourcing work to agencies. Casey & the team at CJ&CO are the exception to the rule.
Communication was beyond great, his understanding of our vision was phenomenal, and instead of needing babysitting like the other agencies we worked with, he was not only completely dependable but also gave us sound suggestions on how to get better results, at the risk of us not needing him for the initial job we requested (absolute gem).
This has truly been the first time we worked with someone outside of our business that quickly grasped our vision, and that I could completely forget about and would still deliver above expectations.
I honestly can't wait to work in many more projects together!
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