Optimizing Datalog for the GPU
dl.acm.org·1d·
Discuss: Lobsters
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American Wind Farms
tech.marksblogg.com·15h·
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Key learnings from the State of Containers and Serverless report
datadoghq.com·22h
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Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·3h·
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Which Chip Is Best?
blog.confident.security·3h·
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<p>**Abstract:** This paper introduces a novel framework, Enhanced Semantic Graph Analysis (ESGA), for automated scientific literature review and hypothesis gen...
freederia.com·52m
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Context Engineering with Real-Time, Processed Data
confluent.io·1d·
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·2h
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AWS S3 Vectors at scale: Real performance numbers at 10 million Vectors
dev.to·12h·
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We Started with Jax but Moved to PyTorch
mlechner.substack.com·5h·
Discuss: Substack
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Query Compilation Isn't as Hard as You Think
databasearchitects.blogspot.com·10h·
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
theregister.com·22h
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Your AI-Powered Hub for Notes & Tasks: Built for Offline-First Productivity
dev.to·8h·
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·3d
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·10h·
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.com·2d
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Workload Identity in a Multi System Environment (Wimse) Architecture
datatracker.ietf.org·2h·
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From Postgres to Iceberg
dev.to·1d·
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A Step-by-Step Guide to Implementing Microsoft Fabric with a Trusted Partner
alletec.com·1d·
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ARMS Continuous Profiling Upgrade for Efficient and Accurate Performance Bottleneck Localization
dev.to·15h·
Discuss: DEV
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