Favorite Google is investing an additional $9 billion in Oklahoma within the next two years in cloud and AI infrastructure. This investment supports the development of a new data… View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker Unified Studio represents the evolution towards unifying the entire data, analytics, and artificial intelligence and machine learning (AI/ML) lifecycle within a single, governed environment. As organizations adopt SageMaker Unified Studio to unify their data, analytics, and AI workflows, they encounter new challenges around scaling, automation, isolation, multi-tenancy,
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Shared by AWS Machine Learning August 13, 2025
Favorite In Part 1 of our series, we established the architectural foundation for an enterprise artificial intelligence and machine learning (AI/ML) configuration with Amazon SageMaker Unified Studio projects. We explored the multi-account structure, project organization, multi-tenancy approaches, and repository strategies needed to create a governed AI development environment. In this
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Shared by AWS Machine Learning August 13, 2025
Favorite This post is co-authored with Karsten Weber and Rosary Wang from Lexbe. Legal professionals are frequently tasked with sifting through vast volumes of documents to identify critical evidence for litigation. This process can be time-consuming, prone to human error, and expensive—especially when tight deadlines loom. Lexbe, a leader in
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Shared by AWS Machine Learning August 13, 2025
Favorite This post is co-written with Rudra Kannemadugu and Shravan K S from Indegene Limited. In today’s digital-first world, healthcare conversations are increasingly happening online. Yet the life sciences industry has struggled to keep pace with this shift, facing challenges in effectively analyzing and deriving insights from complex medical discussions
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Shared by AWS Machine Learning August 13, 2025
Favorite Imagine harnessing the power of 72 cutting-edge NVIDIA Blackwell GPUs in a single system for the next wave of AI innovation, unlocking 360 petaflops of dense 8-bit floating point (FP8) compute and 1.4 exaflops of sparse 4-bit floating point (FP4) compute. Today, that’s exactly what Amazon SageMaker HyperPod delivers
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Shared by AWS Machine Learning August 13, 2025
Favorite On July 23rd, the Trump Administration released an “AI Action Plan” with a stated goal of “winning the AI race.” It will serve as a blueprint for policy actions the administration will take to accelerate AI in the United States. While the plan covers a lot of topics unrelated
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Shared by voicesofopensource August 12, 2025
Favorite Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. These pre-trained, text-only Transformer models are built on a Mixture-of-Experts (MoE) architecture that activates only a subset of parameters per token, delivering high reasoning performance while
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Shared by AWS Machine Learning August 12, 2025
Favorite “How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various
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Shared by AWS Machine Learning August 12, 2025
Favorite Google DeepMind CEO Demis Hassabis talks about AI’s momentum, from new models to the Game Arena benchmark. View Original Source (blog.google/technology/ai/) Here.