Hugging Face on AWS – Amazon Web Services
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Hugging Face on AWS – Amazon Web Services
With Hugging Face on AWS, you can customize and deploy publicly available foundation models through Amazon SageMaker on GPUs, Trainium and Inferentia, in a matter of clicks.
3 months ago
Amazon SageMaker Tutorial
The center for all your data, analytics, and AI – Amazon SageMaker – AWS
The center for all your data, analytics, and AI – Amazon SageMaker – AWS
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2 months ago
An Introduction to AWS SageMaker
An Introduction to AWS SageMaker
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
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Tear down inefficient data pipelines & build anew. 🛠️☁️💻 Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. 🖇️ https://go.aws/3Bitq8d | Amazon Web Services
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AI project acceleration awaits—floor it with AWS. 🏎️⚡️☁️ With Amazon SageMaker AI, now available through the unified studio, you can build, train, & deploy models with familiar ML & FM building capabilities. Pave the way to accelerated development with fully managed infrastructure, tools, & workflows. 🖇️ https://go.aws/4gs14XW | Amazon Web Services
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AI project acceleration awaits—floor it with AWS. 🏎️⚡️☁️ With Amazon SageMaker AI, now available through the unified studio, you can build, train, & deploy models with familiar ML & FM building capabilities. Pave the way to accelerated development with fully managed infrastructure, tools, & workflows. 🖇️ https://go.aws/4gs14XW | Amazon Web Services
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Amazon SageMaker Features
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Intr…
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FacebookAmazon Web Services
Tear down inefficient data pipelines & build anew. 🛠️☁️💻 Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. 🖇️ https://go.aws/3Bitq8d | Amazon Web Services
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AI project acceleration awaits—floor it with AWS. 🏎️⚡️☁️ With Amazon SageMaker AI, now available through the unified studio, you can build, train, & deploy models with familiar ML & FM building capabilities. Pave the way to accelerated development with fully managed infrastructure, tools, & workflows. 🖇️ https://go.aws/4gs14XW | Amazon Web Services
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A strong foundation supports endless possibilities. ☁️💻🔨 Amazon SageMaker HyperPod is purpose-built for foundation model development—reducing training time by improving training performance, optimizing resource utilization, and enabling an efficient training environment. 🖇 https://go.aws/46BbTBK | Amazon Web Services
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