Process Hundreds of GB of Data in the Cloud with Polars https://
bit.ly/3N2ZnUC
#AI #MachineLearning #DeepLearning #LLMs #DataScience
COMPUTING
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Processing Hundreds of GB Data Cloud Polars
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Groq System Workshop for Researchers at ALCF AI Testbed
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Are you a researcher looking for a competitive AI edge in your science campaign? The #Groq system, part of the ALCF AI Testbed, provides unparalleled performance & scalability. Attend our workshop & take your research to the next level. Register at http://
groq.link/alfcreg -
PostgreSQL performs efficiently on minimal hardware infrastructure
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Sounds like easily within capabilities of Postgres on a surprisingly small box.
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Numba Adds Polynomial Support for Machine Learning
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Adding support for polynomials to Numba https://
bit.ly/3N0MZog
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Space-Integrated Cloud Computing: Satellite Connectivity and Edge
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One Step Beyond! Insights from #Space @MSCloud Join Us Dec 6 https://
bit.ly/3snVz9l 9am PT | 12pm ET | 6pm CET The #future of #cloud will also incorporate space, such as #satellite #connectivity and data, creating an ultimate #edge and enabling computing -
Accelerate AI Inferencing Performance and Scalability Webinar
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Unlock accelerated #AI inferencing with industry-leading performance and scalability. Don't miss out on our free webinar series showcasing how you can take your AI game to the next level: https://
nvda.ws/46IGSMf #Inference #Webinar -
GPU Programming and Transformers: Essential ML Systems Knowledge
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fewer than 100 people deeply understand both (i) transformers and (ii) the GPU programming model want to learn machine learning? gain some esoteric systems knowledge; spend some time really learning CUDA
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NVIDIA RAPIDS Accelerates Pandas Performance for Data Science
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Speed up your #DataScience with NVIDIA GPUs! Dive into our blog "Crush Pandas Speed Barriers on Domino" to see how NVIDIA's RAPIDS boosts Pandas efficiency. #AI #NVIDIA #RAPIDS #DominoDataLab https://
domino.buzz/3NbDaEa #DataScience #AI #NVIDIA #RAPIDS #DominoDataLab -
Python’s Role in Data Science and Machine Learning Infrastructure
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Because for most of the Data Science, ML, and AI use cases almost all of the important stuff happens behind the scenes in highly optimized C, C++, Rust, and CUDA libraries. And these use cases is where Python has by now entrenched itself.
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Google’s Engineering Complexity Beyond Simple Interface
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Google seems like a pretty simple website with just a single HTML input box that returns a bunch of links. I don't understand why it needs more than a couple of engineers to run.