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Tag: inference workloads

  • Cloud Blog: An inside look into Google’s AI innovations: AI Luminaries at Cloud Next

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/register-for-ai-luminaries-at-google-cloud-next/ Source: Cloud Blog Title: An inside look into Google’s AI innovations: AI Luminaries at Cloud Next Feedly Summary: Today, I’m pleased to announce the launch of AI Luminaries programming at the upcoming Google Cloud Next conference. This is a unique forum where some of the top researchers, scientists, and technology leaders in…

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Cloud Blog: How to deploy serverless AI with Gemma 3 on Cloud Run

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/serverless-ai-with-gemma-3-on-cloud-run/ Source: Cloud Blog Title: How to deploy serverless AI with Gemma 3 on Cloud Run Feedly Summary: Today, we introduced Gemma 3, a family of lightweight, open models built with the cutting-edge technology behind Gemini 2.0. The Gemma 3 family of models have been designed for speed and portability, empowering developers to…

  • Hacker News: Fire-Flyer File System from DeepSeek

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    Kurt Seifried
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    Source URL: https://github.com/deepseek-ai/3FS Source: Hacker News Title: Fire-Flyer File System from DeepSeek Feedly Summary: Comments AI Summary and Description: Yes Summary: The Fire-Flyer File System (3FS) is a distributed file system designed to optimize AI training and inference workloads by harnessing modern hardware capabilities. The text discusses its performance, a benchmarking approach using the GraySort…

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

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    Kurt Seifried
    in

    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: Announcing smaller machine types for A3 High VMs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/announcing-smaller-machine-types-for-a3-high-vms/ Source: Cloud Blog Title: Announcing smaller machine types for A3 High VMs Feedly Summary: Today, an increasing number of organizations are using GPUs to run inference1 on their AI/ML models. Since the number of GPUs needed to serve a single inference workload varies, organizations need more granularity in the number of GPUs…

  • Cloud Blog: New year, new updates to AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/a3-ultra-with-nvidia-h200-gpus-are-ga-on-ai-hypercomputer/ Source: Cloud Blog Title: New year, new updates to AI Hypercomputer Feedly Summary: The last few weeks of 2024 were exhilarating as we worked to bring you multiple advancements in AI infrastructure, including the general availability of Trillium, our sixth-generation TPU, A3 Ultra VMs powered by NVIDIA H200 GPUs, support for up…

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

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    system automation
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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…