Tag: throughput

  • Simon Willison’s Weblog: olmOCR

    Source URL: https://simonwillison.net/2025/Feb/26/olmocr/#atom-everything Source: Simon Willison’s Weblog Title: olmOCR Feedly Summary: olmOCR New from Ai2 – olmOCR is “an open-source tool designed for high-throughput conversion of PDFs and other documents into plain text while preserving natural reading order". At its core is allenai/olmOCR-7B-0225-preview, a Qwen2-VL-7B-Instruct variant trained on ~250,000 pages of diverse PDF content (both…

  • Cloud Blog: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anthropics-claude-3-7-sonnet-is-available-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI Feedly Summary: Today, we’re announcing Claude 3.7 Sonnet, Anthropic’s most intelligent model to date and the first hybrid reasoning model on the market, is available in preview on Vertex AI Model Garden. Claude 3.7…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Cloud Blog: Introducing A4X VMs powered by NVIDIA GB200 — now in preview

    Source URL: https://cloud.google.com/blog/products/compute/new-a4x-vms-powered-by-nvidia-gb200-gpus/ Source: Cloud Blog Title: Introducing A4X VMs powered by NVIDIA GB200 — now in preview Feedly Summary: The next frontier of AI is reasoning models that think critically and learn during inference to solve complex problems. To train and serve this new class of models, you need infrastructure with the performance and…

  • Hacker News: Rust: Doubling Throughput with Continuous Profiling and Optimization

    Source URL: https://www.polarsignals.com/blog/posts/2025/02/11/doubling-throughput-with-continuous-profiling-and-optimization Source: Hacker News Title: Rust: Doubling Throughput with Continuous Profiling and Optimization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how S2, a serverless API for streaming data, optimized its cloud infrastructure performance and reduced operational costs through the implementation of continuous profiling with Polar Signals Cloud. This…

  • Hacker News: How to prove false statements? (Part 1)

    Source URL: https://blog.cryptographyengineering.com/2025/02/04/how-to-prove-false-statements-part-1/ Source: Hacker News Title: How to prove false statements? (Part 1) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves into the implications of theoretical models in cryptography, particularly focusing on the random oracle model (ROM) and its impact on the practical security of cryptographic schemes. It emphasizes the…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…