Remove AI Remove Clustering Remove System Architecture
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Why Microsoft is outspending big tech on Nvidia AI chips

Dataconomy

has acquired approximately 485,000 of Nvidias Hopper AI chips this year, leading the market by a significant margin according to Financial Times. Microsoft is looking to cultivate its AI services, leveraging technologies from OpenAI, in which it has invested $13 billion. Microsoft Corp.

Azure 103
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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

ML 95
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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. These operational inefficiencies meant that we had to revisit our solution architecture.

AWS 88
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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. Pass the results of the SageMaker endpoint to Amazon Augmented AI (Amazon A2I). Applied AI Specialist Architect at AWS. The following diagram illustrates the pipeline workflow.

ML 100
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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022. Architecture of the Turn-to-Diarize system. It also reduces the total number of embeddings to be clustered, thus making the clustering step less expensive.

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Transforming the future: A journey into model-based systems engineering at Singapore Institute of Technology

IBM Journey to AI blog

Under the mentorship of Marco Forlingieri, associate faculty member at SIT and ASEAN Engineering Leader from IBM Singapore, students engaged in a hands-on exploration of IBM® Engineering Systems Design Rhapsody® This course stands as Singapore’s only dedicated MBSE academic offering.