Tag: GPUs
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Slashdot: Initiative Seeks AI Lab to Build ‘American Truly Open Models’ (ATOM)
Source URL: https://news.slashdot.org/story/25/08/09/1916243/initiative-seeks-ai-lab-to-build-american-truly-open-models-atom?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Initiative Seeks AI Lab to Build ‘American Truly Open Models’ (ATOM) Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the launch of the ATOM Project, aimed at enhancing U.S. open-source AI competitiveness, highlighting a significant gap in open-source AI development in the country compared to China.…
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Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…
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Slashdot: Nvidia Rejects US Demand For Backdoors in AI Chips
Source URL: https://news.slashdot.org/story/25/08/06/145218/nvidia-rejects-us-demand-for-backdoors-in-ai-chips Source: Slashdot Title: Nvidia Rejects US Demand For Backdoors in AI Chips Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s chief security officer has firmly stated that the company’s GPUs should not have “kill switches” or backdoors, amidst ongoing legislative pressures in the US for increased control and security measures over…
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The Register: Broadcom’s Jericho4 ASICs just opened the door to multi-datacenter AI training
Source URL: https://www.theregister.com/2025/08/06/broadcom_jericho_4/ Source: The Register Title: Broadcom’s Jericho4 ASICs just opened the door to multi-datacenter AI training Feedly Summary: Forget building massive super clusters. Cobble them together from existing datacenters instead Broadcom on Monday unveiled a new switch which could allow AI model developers to train models on GPUs spread across multiple datacenters up…
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Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs
Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…