It’s beyond irresponsible – it’s knowingly harmful based on data centers not reporting water usage. A 2022 @uptime report showed only 39% of data centers report water usage. But centers are being placed many times in known water scarce areas (droughts / aquifer depletion).
COMPUTING
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Energy-Efficient Computing Scaling AI While Reducing Emissions
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Learn how industries are using energy-efficient computing to scale #AI, improve products and services, and reduce emissions and operational costs. Read the blog here. https://
nvda.ws/42uKQro -
How IoT Empowers AI: Data Analysis and Interpretation
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New! How IoT Empowers AI See
http://
bit.ly/IoTEmpowersAI
A pleasure to write on the relationship between #IoT & #AI and in today's context of interconnected devices & systems, the key role #ArtificialInteligence affords in analyzing and interpreting the vast amounts of -
MATLAB Simulink AI Integration for Complex Engineered Systems
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Using MATLAB and Simulink, you can enhance complex engineered systems you develop with Model-Based Design by integrating AI http://
spr.ly/6015VPyjh #ModelBasedDesign #AI -
Bun Node Compatibility Issues Delay Official Support
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Hey Michele The prime reason behind not supporting Bun/Deno are some open issues in Bun as of now regarding Node compatibility. There are many instances where code actually works in Node but not in Bun. (Screenshot of Bun author attached) We aim to support Bun in the future
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LoRA vs Quantization: Optimizing AI Model Training Resources
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Yes! I could have done Lora as well but I opted for the quantized version to reduce resources. If I had more than 64gb of RAM I feel Lora would have been fine.
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NousHermes-Mixtral-8x7B-Reddit: Fine-tuned LLM Model Released
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Introducing NousHermes-Mixtral-8x7B-Reddit A fine-tune of the legendary model by @teknium on 10k Reddit threads. Including subreddits like:
– AskAcademia
– AskComputerScience
– AskEconomics
– ELI5 And many more! Optimized for MLX. -
PyTorch torch compile encountered critical error during execution
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welp. this is what happened when i tried to use torch compile
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Parallel Batch Processing Optimization in Machine Learning
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what would that even mean? why would you not just combine “parallel” batches into a bigger batch?