Too many Americans also think semiconductor fabs in America can be built and spun up like car factories.
COMPUTING
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IBM Granite 3.0 Lightweight Foundation Models for Enterprise
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7). Granite 3.0 – presents lightweight foundation models ranging from 400 million to 8B parameters; supports coding, RAG, reasoning, and function calling, focusing on enterprise use cases, including on-premise and on-device settings.
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TSMC Arizona Fab Requires 500 Engineers Knowledge Transfer
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That TSMC fab in Arizona required 500 Taiwanese engineers to come over and help ramp things up while they sent 500 American engineers over to train. Given that it’s going to take about 50 advanced semiconductor fabs to catch up with Taiwan and about 5 years and $40B each to
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Predicting the Future of Distributed Systems
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Predicting the Future of Distributed Systems https://
bit.ly/3XPJ9CZ
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Government GPU Clusters Gap in AI Leadership
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Guess how many large GPU clusters the government owns or operates? None. https://
oodaloop.com/archive/2024/1
0/27/securing-the-future-why-the-government-must-invest-in-large-scale-gpu-clusters-to-lead-in-ai/
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Datacenter Teams Working Graveyard Shift Operations
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Shoutout to our amazing datacenter teams working the graveyard shift
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GenAI Power Consumption: No Need to Worry
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Relax, no need to worry about the power needs of GenAI. https://t.co/IWQlnSAJLa
— Gary Marcus (@GaryMarcus) 26 octobre 2024Relax, no need to worry about the power needs of GenAI.
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Master Data Engineering Best Practices with AI Tools
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Sharpen your data engineering expertise with the latest best practices. Our Big Book of Data Engineering shares practical guidance on: Using AI tools for faster code dev Scaling ETL pipelines Implementing data governance And more: https://
dbricks.co/4hmbDNO -
Open Source Definition Challenges in Cloud and AI Era
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I wrote the post based on an email you would've seen. It's a great email. I think we can agree some things called "open source" aren't by any definition, but some hard barriers probably don't make as much sense in cloud/AI as they did on shippable software.