accelerators – Page 4 – Experimental News Clipping Site

Cloud Blog: Save early and often with multi-tier checkpointing to optimize large AI training jobs

Jun 16, 2025

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/using-multi-tier-checkpointing-for-large-ai-training-jobs/ Source: Cloud Blog Title: Save early and often with multi-tier checkpointing to optimize large AI training jobs Feedly Summary: As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~…

Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

Jun 6, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be complex and resource-intensive. Developers and…

Cloud Blog: Building a Production Multimodal Fine-Tuning Pipeline

Jun 6, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/topics/developers-practitioners/building-a-production-multimodal-fine-tuning-pipeline/ Source: Cloud Blog Title: Building a Production Multimodal Fine-Tuning Pipeline Feedly Summary: Looking to fine-tune multimodal AI models for your specific domain but facing infrastructure and implementation challenges? This guide demonstrates how to overcome the multimodal implementation gap using Google Cloud and Axolotl, with a complete hands-on example fine-tuning Gemma 3 on…

Cloud Blog: Streamline your your AI/ML data transfers with new GKE Volume Populator

Jun 3, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-volume-populator-streamlines-aiml-data-transfers/ Source: Cloud Blog Title: Streamline your your AI/ML data transfers with new GKE Volume Populator Feedly Summary: As an AI/ML developer, you have a lot of decisions to make when it comes to choosing your infrastructure — even if you’re running on top of a fully managed Google Kubernetes Engine (GKE) environment.…

Slashdot: AI Could Consume More Power Than Bitcoin By the End of 2025

May 31, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://hardware.slashdot.org/story/25/05/31/0049238/ai-could-consume-more-power-than-bitcoin-by-the-end-of-2025?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Could Consume More Power Than Bitcoin By the End of 2025 Feedly Summary: AI Summary and Description: Yes Summary: The increasing energy consumption of artificial intelligence (AI) could surpass that of Bitcoin mining, posing significant environmental concerns as AI’s demand on electrical resources grows. Research indicates that by…

Cloud Blog: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing

May 22, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/ai-machine-learning/elastic-training-and-optimized-checkpointing-improve-ml-goodput/ Source: Cloud Blog Title: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Feedly Summary: Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to…

The Register: Nvidia CEO Jensen Huang labels US GPU export bans ‘precisely wrong’ and ‘a failure’

May 21, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://www.theregister.com/2025/05/21/jensen_huang_h20_ban_criticism/ Source: The Register Title: Nvidia CEO Jensen Huang labels US GPU export bans ‘precisely wrong’ and ‘a failure’ Feedly Summary: Argues the world needs China’s AI researchers working on his chips so the rest of us benefit Computex Nvidia CEO Jensen Huang has said the USA’s ban on exports of his company’s…

Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

May 20, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale. Machine learning on mobile devices enables amazing app experiences. But…

Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

May 20, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…

The Register: Wanted: A handy metric for gauging if GPUs are being used optimally

May 20, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://www.theregister.com/2025/05/20/gpu_metric/ Source: The Register Title: Wanted: A handy metric for gauging if GPUs are being used optimally Feedly Summary: Even well-optimized models only likely to use 35 to 45% of compute the silicon can deliver GPU accelerators used in AI processing are costly items, so making sure you get the best usage out…

Tag: accelerators