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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Taking training sessions online this year lets us provide more instructor-led sessions over more days and times than ever before. So where do you start?

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What is FinOps? How to keep cloud spend in check

Dynatrace

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Create optimization strategies with realistic goals for each team. The result is smarter, data-driven solutions designed to manage cloud spend. What is FinOps?

Cloud 205
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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. As a result, this baseline measurement has become an important component of our sustainability strategy. This adoption will further impact carbon emissions.

Energy 242
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Content, genre and languages Instead of augmenting or synthesizing training data, we sample the large scale data available in the Netflix catalog with noisy labels.

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Why Choose a Third-Party Database Migration Service

Percona

To achieve this, a substantial commitment is necessary from your team to master effective testing strategies. This entails providing comprehensive training for your staff, equipping them with both foundational and sophisticated testing methodologies.

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What Is a Workload in Cloud Computing

Scalegrid

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130
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Beyond data and model parallelism for deep neural networks

The Morning Paper

To me that means the “simple” object access protocol, but not here: We introduce SOAP, a more comprehensive search space of parallelization strategies for DNNs that includes strategies to parallelize a DNN in the Sample, Operator, Attribute, and Parameter dimensions. compared to state-of-the-art approaches. The optimiser.

Network 81