Tag: memory usage

  • Hacker News: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60%

    Source URL: https://blog.allegro.tech/2024/06/cost-optimization-data-pipeline-gcp.html Source: Hacker News Title: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60% Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses methods for optimizing Google Cloud Platform (GCP) Dataflow pipelines with a focus on cost reductions through effective resource management and configuration enhancements. This…

  • Hacker News: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup

    Source URL: https://hanlab.mit.edu/blog/svdquant Source: Hacker News Title: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the innovative SVDQuant paradigm for post-training quantization of diffusion models, which enhances computational efficiency by quantizing both weights and activations to…

  • Hacker News: Tencent drops a 389B MoE model(Open-source and free for commercial use))

    Source URL: https://github.com/Tencent/Tencent-Hunyuan-Large Source: Hacker News Title: Tencent drops a 389B MoE model(Open-source and free for commercial use)) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Hunyuan-Large model, the largest open-source Transformer-based Mixture of Experts (MoE) model, developed by Tencent, which boasts 389 billion parameters, optimizing performance while managing resource…

  • Hacker News: What’s new with Robinhood, our in-house load balancing service

    Source URL: https://dropbox.tech/infrastructure/robinhood-in-house-load-balancing-service Source: Hacker News Title: What’s new with Robinhood, our in-house load balancing service Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the development and implementation of “Robinhood,” Dropbox’s internal load balancing service that efficiently manages traffic across servers to improve infrastructure reliability and reduce hardware costs. It highlights…

  • Cloud Blog: What’s new in PostgreSQL 17, now available in Cloud SQL

    Source URL: https://cloud.google.com/blog/products/databases/postgresql-17-now-available-on-cloud-sql/ Source: Cloud Blog Title: What’s new in PostgreSQL 17, now available in Cloud SQL Feedly Summary: We’re excited to announce support for PostgreSQL 17 in Cloud SQL, complete with many new features and valuable enhancements across five key areas: Security Developer experience Performance Tooling Observability In this blog post, we explore these…

  • Hacker News: Implementing neural networks on the "3 cent" 8-bit microcontroller

    Source URL: https://cpldcpu.wordpress.com/2024/05/02/machine-learning-mnist-inference-on-the-3-cent-microcontroller/ Source: Hacker News Title: Implementing neural networks on the "3 cent" 8-bit microcontroller Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation of a neural network-based inference engine for recognizing handwritten digits (from the MNIST dataset) on extremely low-end microcontrollers, specifically the Padauk 8-bit microcontroller series. It…

  • 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…

  • 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…