Tag: GPU

Source URL: https://cloud.google.com/blog/topics/hpc/whats-new-with-hpc/ Source: Cloud Blog Title: What’s new with HPC and AI infrastructure at Google Cloud Feedly Summary: At Google Cloud, we’re rapidly advancing our high-performance computing (HPC) capabilities, providing researchers and engineers with powerful tools and infrastructure to tackle the most demanding computational challenges. Here’s a look at some of the key developments…

Hacker News: FBDetect: Catching Tiny Performance Regressions at Hyperscale [pdf]

Nov 15, 2024

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Source URL: https://tangchq74.github.io/FBDetect-SOSP24.pdf Source: Hacker News Title: FBDetect: Catching Tiny Performance Regressions at Hyperscale [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text details the FBDetect system developed by Meta for identifying and managing tiny performance regressions in production environments. FBDetect achieves this by monitoring numerous time series data across vast…

The Register: AI PCs flood the market. Vendors hope someone wants them

Nov 14, 2024

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Source URL: https://www.theregister.com/2024/11/14/ai_pc_shipments/ Source: The Register Title: AI PCs flood the market. Vendors hope someone wants them Feedly Summary: Despite 49% surge in shipments, buyers seem unconvinced Warehouses in the IT channel are stocking up with AI-capable PCs – industry watcher Canalys claims these made up 20 percent of all shipments during Q3 2024, amounting…

Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

Nov 14, 2024

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

Slashdot: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware

Nov 14, 2024

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Source URL: https://tech.slashdot.org/story/24/11/14/018246/ibm-boosts-the-amount-of-computation-you-can-get-done-on-quantum-hardware?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware Feedly Summary: AI Summary and Description: Yes Summary: The text discusses IBM’s advancements in quantum computing, particularly the introduction of the Heron processor version 2, which increases reliability and efficiency in calculations despite existing errors. It…

The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100

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Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…

Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

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Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…

Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

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Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…

The Register: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet

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