Remove picks the-best-cpus
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Reduce Amazon SageMaker inference cost with AWS Graviton

AWS Machine Learning Blog

SageMaker provides multiple inference options so you can pick the option that best suits your workload. New generations of CPUs offer a significant performance improvement in ML inference due to specialized built-in instructions. At the same time, the latency of inference is also reduced. 4xlarge c6g.4xlarge 4xlarge c6i.4xlarge

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Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning

PyImageSearch

We’ll keep the language simple and avoid using jargon, but if you need help understanding anything, please let us know , and we’ll do our best to help. Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX? autograd XLA ? ⬇️ Import JAX ?

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What’s Behind PyTorch 2.0? TorchDynamo and TorchInductor (primarily for developers)

PyImageSearch

Additionally, TorchDynamo is designed to mix Python execution with compiled backends to get the best of both worlds: usability and performance. introduces the following new technologies: TorchDynamo TorchInductor AOT Autograd PrimTorch These technologies make the PyTorch 2.0 code run faster (with less memory) by JIT-compiling the PyTorch 2.0

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Host ML models on Amazon SageMaker using Triton: ONNX Models

AWS Machine Learning Blog

ONNX Runtime ONNX Runtime is a runtime engine for ML inference designed to optimize the performance of models across multiple hardware platforms, including CPUs and GPUs. Based on the configuration, the ONNX runtime is invoked and the request is processed on CPU or GPU as predefined in the model configuration provided by the user.

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How to See Like a Machine

Mlearning.ai

Whatever your goal is, there is a tool for you. In this blog, I will introduce you to some of the most popular and powerful computer vision tools that you can use to unleash your creativity and have fun. Let’s get started! Note : This blog is more biased towards python as it is the language most developers use to get started in computer vision.

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Optimize your machine learning deployments with auto scaling on Amazon SageMaker

AWS Machine Learning Blog

Amazon SageMaker makes it easy to deploy ML models for inference at the best price-performance for any use case. Our customers are employing ML in every aspect of their business, including the products and services they build, and for drawing insights about their customers.

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Deploying Large NLP Models: Infrastructure Cost Optimization

The MLOps Blog

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. So is there a way to keep these expenses in check?

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