Artificial Intelligence: A Modern Approach! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
COMPUTING
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Google’s Production System Profiling for Performance Optimization
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Since much of Google's software is delivered as web-based services running in our datacenters, we often can just look across our production systems to see what kinds of things are consuming lots of cycles (via Google Wide Profiling: https://
static.googleusercontent.com/media/research
.google.com/en//pubs/archive/36575.pdf
…). From that, we can -
Edge Filtering and Cloud Data Modeling for Industrial IoT Management
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Not all data should go everywhere. Filtering at the edge and modeling in the cloud is essential for efficient industrial data management. Read about the 5 shifts shaping the future: https://t.co/G3r1O5OAvZ #sponsored #highbyte_iiot #influxdata_iiot #InfluxDB #DataManagement pic.twitter.com/aoGKp7geZs
— Lucian Fogoros (@fogoros) 20 décembre 2025Not all data should go everywhere. Filtering at the edge and modeling in the cloud is essential for efficient industrial data management. Read about the 5 shifts shaping the future: https://
buff.ly/wDSPJWm #sponsored #highbyte_iiot #influxdata_iiot #InfluxDB #DataManagement -
Databricks IDE: Data Pipeline Authoring and Testing Tool
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The IDE for Data Engineering is everything you need to author and test data pipelines, directly inside the Databricks Workspace.
— Databricks (@databricks) 20 décembre 2025
The IDE is designed to improve productivity and debugging with features like dependency graphs, built-in data previews and execution insights.
Now… pic.twitter.com/VeW4MUkTlpThe IDE for Data Engineering is everything you need to author and test data pipelines, directly inside the Databricks Workspace. The IDE is designed to improve productivity and debugging with features like dependency graphs, built-in data previews and execution insights. Now
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Cloud infrastructure demand reaches $413B as AI workloads surge globally
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Global demand for cloud infrastructure is expanding with steady momentum, reaching an estimated 413 billion dollars in 2025 as AI workloads intensify, creating a broader need for scalable platforms and resilient data services worldwide. @StatistaCharts via @antgrasso
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Mini-SGLang: Simplified LLM Serving in 5000 Lines of Code
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vLLM has 100k+ lines of code. Mini-SGLang does the same core job under 5000 lines of code. this repo is designed to simplify modern LLM serving systems, offering a capable inference engine and a clear reference code for researchers and developers. 100% open-source.
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$60K Investment in 10 Breakthrough PhD Researchers Worldwide
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Fueling the next decade of accelerated computing, we are investing up to $60,000 each in 10 breakthrough PhD researchers worldwide. Learn more:
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Internal version contains sensitive TPU compiler backend code examples
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The internal version also has additional examples in code that is more sensitive (e.g. changes to the TPU compiler backend) that we aren't able to include in the external version.
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Collection of Performance Optimization Tips and Tricks
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Many techniques are probably known to readers, but we felt it was nice to have a collection of tips and tricks, ranging from high-level algorithmic improvements to low-level performancer optimizations collected together.
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Concrete Examples of Performance Improvement Techniques from 2001
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We've tried to give concrete examples of the various techniques. Some are high level descriptions of a set of performance improvements, like this set of changes from 2001: