Tag: resource usage

  • Simon Willison’s Weblog: mistral.rs

    Source URL: https://simonwillison.net/2024/Oct/19/mistralrs/#atom-everything Source: Simon Willison’s Weblog Title: mistral.rs Feedly Summary: mistral.rs Here’s an LLM inference library written in Rust. It’s not just for that one family of models – like how llama.cpp has grown beyond Llama, mistral.rs has grown beyond Mistral. This is the first time I’ve been able to run the Llama 3.2…

  • CSA: Emulating Cryptomining Attacks: A Deep Dive into Resource Draining with GPU Programming

    Source URL: https://cloudsecurityalliance.org/articles/emulating-cryptomining-attacks-a-deep-dive-into-resource-draining-with-gpu-programming Source: CSA Title: Emulating Cryptomining Attacks: A Deep Dive into Resource Draining with GPU Programming Feedly Summary: AI Summary and Description: Yes Summary: This text addresses the rising threat of cryptojacking in the context of cryptocurrency mining, outlining how attackers exploit organizational resources for malicious cryptomining activities. It provides a detailed explanation…

  • Hacker News: Zamba2-7B

    Source URL: https://www.zyphra.com/post/zamba2-7b Source: Hacker News Title: Zamba2-7B Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the architecture and capabilities of Zamba2-7B, an advanced AI model that utilizes a hybrid SSM-attention architecture, aiming for enhanced inference efficiency and performance. Its open-source release invites collaboration within the AI community, potentially impacting research…

  • Hacker News: GPU utilization can be a misleading metric

    Source URL: https://trainy.ai/blog/gpu-utilization-misleading Source: Hacker News Title: GPU utilization can be a misleading metric Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the importance of understanding GPU performance metrics, particularly GPU Utilization and MFUs (Model FLOPS), in the context of LLM training. It emphasizes the limitations of solely relying on GPU…